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Model

claude-sonnet-5

claude-sonnet-5 from Anthropic, Balanced class. List prices per million tokens, and what the public benchmarks say about it.

Class
Balanced
Input, per million
$2.00
Output, per million
$10.00
Cached input
$0.20
Context window
1,000,000
Longest answer
128,000
Processed in
global
Prices from
14 September 2026

Calling it

Name it in the model field, or let auto choose it for you.

"model": "claude-sonnet-5"

Supports: images, tools, JSON schema

auto can pick this model when it suits the job and the line you chose.

What it costs

  • Input $2.00 and output $10.00 per million tokens, at the provider list price.
  • Input read from cache: $0.20 per million tokens.

Public results for this model

Zabio has not run its own tests on this model. Everything below is aggregated from public benchmarks, with the sources named.

Aggregated from public resultsRead on 1 October 2026

claude-sonnet-5
Writing, Medium: 68.1 +/- 3.9 Evidence, in standard errors: 0.3 LiveBench Language: 75.0 (Different settings) LiveBench paraphrase: 61.3 (Different settings) LMArena text style control, instruction following: 1,466.9 (Different settings)Writing, Medium68.1Creative writing, Medium: 62.3 +/- 6.9 Evidence, in standard errors: 0.1 LiveBench story generation: 62.3 (Different settings) LMArena text style control, creative writing: 1,435.8 (Different settings)Creative writing, Medium62.3Summarizing, Medium: 71.2 +/- 6.4 Evidence, in standard errors: -0.2 LiveBench summarize: 71.2 (Different settings)Summarizing, Medium71.2Pulling out data, Medium: 84.9 +/- 2.1 Evidence, in standard errors: 1.0 LiveBench Data Analysis: 71.7 (Different settings) LiveBench tablereformat: 98.0 (Different settings) LMArena text style control, instruction following: 1,466.9 (Different settings)Pulling out data, Medium84.9Sorting into categories, Medium: 63.9 +/- 3.4 Evidence, in standard errors: -1.1 LiveBench IF: 63.9 (Different settings)Sorting into categories, Medium63.9Conversation, Medium: 33.7 +/- 1.5 Evidence, in standard errors: 0.2 SimpleQA Verified: 33.7 (Different settings) LMArena text style control, multi turn: 1,473.5 (Different settings)Conversation, Medium33.7Analysis and reasoning, Medium: 60.6 +/- 3.5 Evidence, in standard errors: 0.3 SimpleBench: 60.6 (Same settings as ours)Analysis and reasoning, Medium60.6Analysis and reasoning, Hard: 84.5 +/- 1.8 Evidence, in standard errors: 1.4 GPQA diamond: 80.3 (Different settings) LiveBench Reasoning: 88.7 (Different settings) LMArena text style control, hard prompts: 1,490.7 (Different settings)Analysis and reasoning, Hard84.5Analysis and reasoning, Hardest: Rating 1,511.8 Evidence, in standard errors: 1.8 LMArena text style control, expert: 1,511.8 (Different settings)Analysis and reasoning, HardestRating 1,511.8Math, Medium: Rating 1,473.6 Evidence, in standard errors: 1.2 LMArena text style control, math: 1,473.6 (Different settings)Math, MediumRating 1,473.6Math, Hard: 92.9 +/- 1.3 Evidence, in standard errors: 2.4 LiveBench Mathematics: 92.9 (Different settings)Math, Hard92.9Math, Hardest: 72.8 +/- 3.3 Evidence, in standard errors: 1.0 FrontierMath-Tiers-1-3-v2-Private: 65.6 (Different settings) OTIS Mock AIME 2024-2025: 80.0 (Different settings)Math, Hardest72.8Writing code, Hard: 70.0 +/- 3.4 Evidence, in standard errors: 2.1 LiveBench Agentic Coding: 59.4 (Different settings) LiveBench Coding: 80.7 (Different settings) LMArena text style control, coding: 1,518.9 (Different settings) LMArena webdev, overall: 1,539.5 (Different settings)Writing code, Hard70.0Fixing code, Hard: 59.4 +/- 5.8 Evidence, in standard errors: 1.6 LiveBench Agentic Coding: 59.4 (Different settings)Fixing code, Hard59.4SQL and data queries, Medium: 42.4 +/- 6.9 Evidence, in standard errors: -0.7 LiveBench tablejoin: 42.4 (Different settings)SQL and data queries, Medium42.4Reading images, Medium: Rating 1,275.4 Evidence, in standard errors: 0.1 LMArena vision, overall: 1,275.4 (Different settings)Reading images, MediumRating 1,275.4Questions about a document, Medium: Rating 1,481.8 Evidence, in standard errors: 1.1 LMArena text style control, longer query: 1,481.8 (Different settings)Questions about a document, MediumRating 1,481.8Questions about a document, Hard: Rating 1,466.1 Evidence, in standard errors: -0.6 LMArena document, overall: 1,466.1 (Different settings)Questions about a document, HardRating 1,466.1
The benchmarks behind each bar
Kind of jobBenchmarkScoreSettings
Writing, MediumLiveBench Language75.0Different settings
Writing, MediumLiveBench paraphrase61.3Different settings
Writing, MediumLMArena text style control, instruction followingRating 1,466.9Different settings
Creative writing, MediumLiveBench story generation62.3Different settings
Creative writing, MediumLMArena text style control, creative writingRating 1,435.8Different settings
Summarizing, MediumLiveBench summarize71.2Different settings
Pulling out data, MediumLiveBench Data Analysis71.7Different settings
Pulling out data, MediumLiveBench tablereformat98.0Different settings
Pulling out data, MediumLMArena text style control, instruction followingRating 1,466.9Different settings
Sorting into categories, MediumLiveBench IF63.9Different settings
Conversation, MediumSimpleQA Verified33.7Different settings
Conversation, MediumLMArena text style control, multi turnRating 1,473.5Different settings
Analysis and reasoning, MediumSimpleBench60.6Same settings as ours
Analysis and reasoning, HardGPQA diamond80.3Different settings
Analysis and reasoning, HardLiveBench Reasoning88.7Different settings
Analysis and reasoning, HardLMArena text style control, hard promptsRating 1,490.7Different settings
Analysis and reasoning, HardestLMArena text style control, expertRating 1,511.8Different settings
Math, MediumLMArena text style control, mathRating 1,473.6Different settings
Math, HardLiveBench Mathematics92.9Different settings
Math, HardestFrontierMath-Tiers-1-3-v2-Private65.6Different settings
Math, HardestOTIS Mock AIME 2024-202580.0Different settings
Writing code, HardLiveBench Agentic Coding59.4Different settings
Writing code, HardLiveBench Coding80.7Different settings
Writing code, HardLMArena text style control, codingRating 1,518.9Different settings
Writing code, HardLMArena webdev, overallRating 1,539.5Different settings
Fixing code, HardLiveBench Agentic Coding59.4Different settings
SQL and data queries, MediumLiveBench tablejoin42.4Different settings
Reading images, MediumLMArena vision, overallRating 1,275.4Different settings
Questions about a document, MediumLMArena text style control, longer queryRating 1,481.8Different settings
Questions about a document, HardLMArena document, overallRating 1,466.1Different settings
Price against score in each kind of job (18)

Price per 1,000 tasks, USD. Score, %. Greyed out: a cheaper model already scores as well. Ringed: the best, balanced and cheap choice.

Writing, Medium
5060708090100$1$10 gpt-5.4-nano: 64.6 +/- 3.9, $0.66 deepseek-flash: 66.3 +/- 3.9, $0.72 deepseek-flash@together: 66.3 +/- 3.9, $0.72 gemini-3.5-flash-lite: 68.4 +/- 3.8, $1.24 gemini-3.8-flash: 83.9 +/- 3.1, $2.10 gpt-5.4-mini: 64.9 +/- 3.9, $2.40 deepseek-v4-pro: 67.2 +/- 3.9, $2.64 deepseek-v4-pro@together: 67.2 +/- 3.9, $2.64 grok-4.7: 79.1 +/- 3.4, $4.40 gemini-3.5-flash: 80.1 +/- 3.4, $4.80 claude-sonnet-5: 68.1 +/- 3.9, $5.60 gemini-3.1-pro-preview: 82.6 +/- 3.2, $6.40 gpt-5.4: 73.0 +/- 3.7, $8.00 claude-sonnet-4-6: 67.8 +/- 3.9, $8.40 claude-opus-5-5: 75.3 +/- 3.7, $11.20 claude-opus-5: 77.2 +/- 3.6, $14.00 claude-opus-4-8: 73.8 +/- 3.7, $14.00 gpt-5.5: 79.6 +/- 3.5, $16.00 claude-fable-5-1: 80.5 +/- 3.4, $28.00 gpt-6-astra: 83.8 +/- 3.2, $28.00 gemini-3.8-flash Best, Balanced, Cheapclaude-sonnet-5
Creative writing, Medium
5060708090100$1$10 gpt-5.4-nano: 67.7 +/- 6.6, $0.66 deepseek-flash: 67.3 +/- 6.6, $0.72 deepseek-flash@together: 67.3 +/- 6.6, $0.72 gemini-3.5-flash-lite: 67.5 +/- 6.6, $1.24 gemini-3.8-flash: 82.8 +/- 5.3, $2.10 gpt-5.4-mini: 66.6 +/- 6.7, $2.40 deepseek-v4-pro: 67.8 +/- 6.6, $2.64 deepseek-v4-pro@together: 67.8 +/- 6.6, $2.64 grok-4.7: 74.9 +/- 6.1, $4.40 gemini-3.5-flash: 75.2 +/- 6.1, $4.80 claude-sonnet-5: 62.3 +/- 6.9, $5.60 gemini-3.1-pro-preview: 77.3 +/- 5.9, $6.40 gpt-5.4: 79.0 +/- 5.8, $8.00 claude-sonnet-4-6: 68.9 +/- 6.6, $8.40 claude-opus-5-5: 70.9 +/- 6.4, $11.20 claude-opus-4-8: 80.6 +/- 5.6, $14.00 claude-opus-5: 61.3 +/- 6.9, $14.00 gpt-5.5: 72.6 +/- 6.3, $16.00 claude-fable-5-1: 78.1 +/- 5.9, $28.00 gpt-6-astra: 74.0 +/- 6.2, $28.00 gemini-3.8-flash Best, Balanced, Cheapclaude-sonnet-5
Summarizing, Medium
5060708090100$1$10 gpt-5.4-nano: 71.8 +/- 6.4, $0.73 deepseek-flash: 68.9 +/- 6.6, $0.96 deepseek-flash@together: 68.9 +/- 6.6, $0.96 gemini-3.5-flash-lite: 68.5 +/- 6.6, $1.22 gemini-3.8-flash: 87.5 +/- 4.7, $2.55 gpt-5.4-mini: 59.6 +/- 6.9, $2.70 deepseek-v4-pro: 69.5 +/- 6.5, $3.96 deepseek-v4-pro@together: 69.5 +/- 6.5, $3.96 gemini-3.5-flash: 82.6 +/- 5.4, $5.40 grok-4.7: 78.2 +/- 5.8, $6.60 claude-sonnet-5: 71.2 +/- 6.4, $6.80 gemini-3.1-pro-preview: 88.2 +/- 4.6, $7.20 gpt-5.4: 68.4 +/- 6.6, $9.00 claude-sonnet-4-6: 61.7 +/- 6.9, $10.20 claude-opus-5-5: 69.1 +/- 6.5, $13.60 claude-opus-4-8: 77.7 +/- 5.9, $17.00 claude-opus-5: 66.4 +/- 6.7, $17.00 gpt-5.5: 72.3 +/- 6.3, $18.00 gpt-6-astra: 79.6 +/- 5.7, $34.00 claude-fable-5-1: 72.2 +/- 6.3, $34.00 gpt-5.4-nano Cheapgemini-3.8-flash Best, Balancedclaude-sonnet-5
Pulling out data, Medium
5060708090100$1$10 gpt-5.4-nano: 82.8 +/- 2.1, $0.41 deepseek-flash: 83.0 +/- 2.1, $0.48 deepseek-flash@together: 83.0 +/- 2.1, $0.48 gemini-3.5-flash-lite: 75.7 +/- 2.3, $0.74 gemini-3.8-flash: 75.1 +/- 2.5, $1.35 gpt-5.4-mini: 85.4 +/- 1.9, $1.50 deepseek-v4-pro: 87.3 +/- 1.9, $1.85 deepseek-v4-pro@together: 87.3 +/- 1.9, $1.85 gemini-3.5-flash: 80.5 +/- 2.4, $3.00 grok-4.7: 88.4 +/- 1.8, $3.08 claude-sonnet-5: 84.9 +/- 2.1, $3.60 gemini-3.1-pro-preview: 88.3 +/- 1.9, $4.00 gpt-5.4: 89.7 +/- 1.7, $5.00 claude-sonnet-4-6: 87.0 +/- 2.2, $5.40 claude-opus-5-5: 89.2 +/- 1.9, $7.20 claude-opus-5: 84.3 +/- 2.4, $9.00 claude-opus-4-8: 80.1 +/- 2.5, $9.00 gpt-5.5: 90.8 +/- 1.7, $10.00 gpt-6-astra: 91.5 +/- 1.6, $18.00 claude-fable-5-1: 87.2 +/- 2.3, $18.00 gpt-5.4-mini Cheapdeepseek-v4-pro Balancedclaude-sonnet-5claude-opus-5-5 Best
Sorting into categories, Medium
5060708090100$1$10 gpt-5.4-nano: 67.2 +/- 3.3, $0.41 deepseek-flash: 63.1 +/- 3.4, $0.48 deepseek-flash@together: 63.1 +/- 3.4, $0.48 gemini-3.5-flash-lite: 67.2 +/- 3.3, $0.74 gemini-3.8-flash: 81.4 +/- 2.8, $1.35 gpt-5.4-mini: 59.8 +/- 3.5, $1.50 deepseek-v4-pro: 62.4 +/- 3.4, $1.85 deepseek-v4-pro@together: 62.4 +/- 3.4, $1.85 gemini-3.5-flash: 75.6 +/- 3.0, $3.00 grok-4.7: 75.3 +/- 3.1, $3.08 claude-sonnet-5: 63.9 +/- 3.4, $3.60 gemini-3.1-pro-preview: 79.1 +/- 2.9, $4.00 gpt-5.4: 70.2 +/- 3.2, $5.00 claude-sonnet-4-6: 63.2 +/- 3.4, $5.40 claude-opus-5-5: 65.7 +/- 3.4, $7.20 claude-opus-4-8: 72.0 +/- 3.2, $9.00 claude-opus-5: 63.8 +/- 3.4, $9.00 gpt-5.5: 70.7 +/- 3.2, $10.00 gpt-6-astra: 75.6 +/- 3.0, $18.00 claude-fable-5-1: 73.0 +/- 3.1, $18.00 gemini-3.8-flash Best, Balanced, Cheapclaude-sonnet-5
Conversation, Medium
0255075100$1$10 gpt-4o-mini: 8.3 +/- 0.9, $0.48 gpt-5.4-nano: 11.7 +/- 1.0, $0.82 deepseek-flash: 33.6 +/- 1.5, $0.96 deepseek-flash@together: 33.6 +/- 1.5, $0.96 gpt-5-mini: 21.6 +/- 1.3, $1.20 gpt-4.1-mini: 12.7 +/- 1.1, $1.28 gemini-3.8-flash: 69.7 +/- 1.5, $2.70 gpt-5.4-mini: 29.4 +/- 1.4, $3.00 claude-haiku-4-5: 13.2 +/- 1.1, $3.60 deepseek-v4-pro: 52.9 +/- 1.6, $3.70 deepseek-v4-pro@together: 52.9 +/- 1.6, $3.70 gemini-3.5-flash: 66.2 +/- 1.5, $6.00 gpt-4.1: 31.1 +/- 1.5, $6.40 claude-sonnet-5: 33.7 +/- 1.5, $7.20 gemini-3.1-pro-preview: 73.5 +/- 1.4, $8.00 gpt-5.4: 45.1 +/- 1.6, $10.00 claude-sonnet-4-6: 32.8 +/- 1.5, $10.80 claude-opus-5-5: 72.2 +/- 1.4, $14.40 claude-opus-4-8: 53.0 +/- 1.6, $18.00 claude-opus-5: 59.9 +/- 1.6, $18.00 gpt-5.5: 63.0 +/- 1.5, $20.00 gpt-6-astra: 75.6 +/- 1.4, $36.00 claude-fable-5-1: 70.8 +/- 1.4, $36.00 gemini-3.8-flash Cheapclaude-sonnet-5gemini-3.1-pro-preview Best, Balanced
Analysis and reasoning, Medium
0255075100$1$10 gpt-oss-120b: 22.1 +/- 2.9, $0.36 gpt-4o-mini: 10.7 +/- 2.2, $0.36 deepseek-flash: 61.1 +/- 3.5, $0.72 deepseek-flash@together: 61.1 +/- 3.5, $0.72 mistral-large-2512: 22.5 +/- 3.0, $1.00 llama-3.3-70b-instruct-turbo: 19.9 +/- 2.8, $1.25 gemini-3.5-flash: 76.7 +/- 3.0, $4.80 gpt-4.1: 27.0 +/- 3.1, $4.80 claude-sonnet-5: 60.6 +/- 3.5, $5.60 gemini-3.1-pro-preview: 79.6 +/- 2.9, $6.40 claude-opus-5: 80.6 +/- 2.8, $14.00 claude-opus-4-8: 64.8 +/- 3.4, $14.00 gpt-5.5: 69.0 +/- 3.3, $16.00 gemini-3.5-flash Best, Balanced, Cheapclaude-sonnet-5
Analysis and reasoning, Hard
0255075100$1$10$100 qwen3.5-9b: 79.0 +/- 2.4, $0.57 gpt-oss-120b: 75.8 +/- 2.7, $0.84 mistral-small-2603: 47.5 +/- 2.8, $0.84 gpt-4o-mini: 37.7 +/- 2.4, $0.84 gpt-5.4-nano: 66.1 +/- 2.4, $1.53 deepseek-flash: 79.0 +/- 2.0, $1.68 deepseek-flash@together: 79.0 +/- 2.0, $1.68 gpt-4.1-mini: 65.9 +/- 2.7, $2.24 gpt-5-mini: 71.7 +/- 3.2, $2.30 mistral-large-2512: 51.3 +/- 2.7, $2.35 gemini-3.5-flash-lite: 68.7 +/- 2.3, $2.85 llama-3.3-70b-instruct-turbo: 47.4 +/- 2.9, $3.02 gemini-3.8-flash: 92.3 +/- 1.3, $4.88 gpt-5.4-mini: 67.1 +/- 2.4, $5.55 deepseek-v4-pro: 78.0 +/- 2.1, $6.20 deepseek-v4-pro@together: 78.0 +/- 2.1, $6.20 claude-haiku-4-5: 60.5 +/- 2.8, $6.50 mistral-medium-3-5: 59.5 +/- 2.8, $9.75 grok-4.7: 82.7 +/- 2.7, $10.34 gemini-3.5-flash: 85.8 +/- 1.7, $11.10 gpt-4.1: 66.9 +/- 2.8, $11.20 claude-sonnet-5: 84.5 +/- 1.8, $13.00 gemini-3.1-pro-preview: 89.5 +/- 1.5, $14.80 gpt-5.4: 80.3 +/- 2.1, $18.50 claude-sonnet-4-6: 81.8 +/- 1.9, $19.50 claude-opus-5-5: 91.4 +/- 1.4, $26.00 claude-opus-5: 92.2 +/- 1.4, $32.50 claude-opus-4-8: 86.9 +/- 1.7, $32.50 gpt-5.5: 82.4 +/- 2.0, $37.00 gpt-6-astra: 94.2 +/- 1.2, $65.00 claude-fable-5-1: 91.7 +/- 1.9, $65.00 gemini-3.8-flash Cheapclaude-sonnet-5claude-opus-5-5 Best, Balanced
Analysis and reasoning, Hardest
0255075100$1$10$100 gpt-4o-mini: 0.0 +/- 0.4, $1.35 gpt-5.4-nano: 9.9 +/- 1.1, $2.48 deepseek-flash: 7.0 +/- 1.0, $2.70 deepseek-flash@together: 7.0 +/- 1.0, $2.70 gpt-4.1-mini: 1.8 +/- 0.5, $3.60 gpt-5-mini: 15.8 +/- 0.9, $3.75 gemini-3.5-flash-lite: 9.3 +/- 1.1, $4.65 gemini-3.8-flash: 44.5 +/- 2.0, $7.88 gpt-5.4-mini: 7.1 +/- 1.0, $9.00 deepseek-v4-pro: 6.9 +/- 0.9, $9.90 deepseek-v4-pro@together: 6.9 +/- 0.9, $9.90 claude-haiku-4-5: 7.8 +/- 1.0, $10.50 mistral-medium-3-5: 4.5 +/- 0.8, $15.75 gemini-3.5-flash: 28.9 +/- 1.8, $18.00 gpt-4.1: 3.8 +/- 0.5, $18.00 gemini-3.1-pro-preview: 73.8 +/- 1.5, $24.00 gpt-5.4: 45.0 +/- 1.8, $30.00 claude-sonnet-4-6: 73.5 +/- 2.4, $31.50 claude-opus-5-5: 94.6 +/- 1.3, $42.00 claude-opus-5: 92.9 +/- 1.5, $52.50 claude-opus-4-8: 75.1 +/- 2.4, $52.50 gpt-5.5: 54.8 +/- 2.4, $60.00 claude-fable-5-1: 73.2 +/- 1.6, $105 gpt-6-astra: 66.8 +/- 1.7, $105 gemini-3.8-flash Cheapclaude-opus-5-5 Best, Balanced
Math, Hard
0255075100$1$10$100 gpt-4o-mini: 52.6 +/- 1.1, $0.84 mistral-small-2603: 46.8 +/- 1.2, $0.84 gpt-5.4-nano: 91.0 +/- 1.5, $1.53 deepseek-flash: 79.7 +/- 2.1, $1.68 deepseek-flash@together: 79.7 +/- 2.1, $1.68 gpt-4.1-mini: 87.3 +/- 0.7, $2.24 gpt-5-mini: 97.9 +/- 0.3, $2.30 mistral-large-2512: 50.3 +/- 1.2, $2.35 gemini-3.5-flash-lite: 73.7 +/- 2.3, $2.85 llama-3.3-70b-instruct-turbo: 41.6 +/- 1.2, $3.02 gemini-3.8-flash: 91.6 +/- 1.4, $4.88 gpt-5.4-mini: 78.5 +/- 2.1, $5.55 deepseek-v4-pro: 90.7 +/- 1.5, $6.20 deepseek-v4-pro@together: 90.7 +/- 1.5, $6.20 claude-haiku-4-5: 86.9 +/- 0.8, $6.50 mistral-medium-3-5: 81.6 +/- 0.9, $9.75 grok-4.7: 95.7 +/- 1.0, $10.34 gemini-3.5-flash: 88.2 +/- 1.7, $11.10 gpt-4.1: 83.0 +/- 0.9, $11.20 claude-sonnet-5: 92.9 +/- 1.3, $13.00 gemini-3.1-pro-preview: 91.0 +/- 1.5, $14.80 gpt-5.4: 94.2 +/- 1.2, $18.50 claude-sonnet-4-6: 87.0 +/- 1.7, $19.50 claude-opus-5-5: 97.1 +/- 0.9, $26.00 claude-opus-5: 95.7 +/- 1.0, $32.50 claude-opus-4-8: 94.3 +/- 1.2, $32.50 gpt-5.5: 95.9 +/- 1.0, $37.00 claude-fable-5-1: 97.0 +/- 0.9, $65.00 gpt-6-astra: 96.8 +/- 0.9, $65.00 gpt-5-mini Best, Balanced, Cheapclaude-sonnet-5
Math, Hardest
0255075100$1$10$100 qwen3.5-9b: 42.8 +/- 6.5, $0.89 gpt-oss-120b: 88.9 +/- 4.5, $1.35 mistral-small-2603: 5.3 +/- 2.6, $1.35 gpt-4o-mini: 3.8 +/- 1.4, $1.35 gpt-5.4-nano: 25.7 +/- 2.9, $2.48 deepseek-flash: 76.0 +/- 1.8, $2.70 deepseek-flash@together: 76.0 +/- 1.8, $2.70 gpt-4.1-mini: 18.6 +/- 2.2, $3.60 gpt-5-mini: 34.1 +/- 2.9, $3.75 mistral-large-2512: 1.1 +/- 0.5, $3.75 gemini-3.5-flash-lite: 44.6 +/- 4.2, $4.65 llama-3.3-70b-instruct-turbo: 5.1 +/- 2.4, $4.68 gemini-3.8-flash: 83.7 +/- 1.5, $7.88 gpt-5.4-mini: 23.6 +/- 2.7, $9.00 deepseek-v4-pro: 54.0 +/- 4.6, $9.90 deepseek-v4-pro@together: 54.0 +/- 4.6, $9.90 claude-haiku-4-5: 20.0 +/- 3.2, $10.50 mistral-medium-3-5: 16.3 +/- 3.0, $15.75 gemini-3.5-flash: 65.3 +/- 2.2, $18.00 gpt-4.1: 16.6 +/- 2.2, $18.00 claude-sonnet-5: 72.8 +/- 3.3, $21.00 gemini-3.1-pro-preview: 64.1 +/- 1.7, $24.00 gpt-5.4: 60.9 +/- 3.3, $30.00 claude-sonnet-4-6: 51.8 +/- 3.7, $31.50 claude-opus-5-5: 95.6 +/- 2.6, $42.00 claude-opus-5: 92.8 +/- 1.6, $52.50 claude-opus-4-8: 72.3 +/- 2.5, $52.50 gpt-5.5: 69.1 +/- 4.5, $60.00 gpt-6-astra: 96.8 +/- 2.6, $105 claude-fable-5-1: 95.1 +/- 2.7, $105 gpt-oss-120b Cheapdeepseek-flash Balancedclaude-sonnet-5claude-opus-5-5 Best
Writing code, Hard
0255075100$2$5$10$20$50$100 gpt-5.4-nano: 58.8 +/- 3.6, $2.09 deepseek-flash: 53.4 +/- 3.6, $2.22 deepseek-flash@together: 53.4 +/- 3.6, $2.22 gemini-3.5-flash-lite: 60.7 +/- 3.5, $3.98 gemini-3.8-flash: 63.4 +/- 3.6, $6.56 gpt-5.4-mini: 56.7 +/- 3.6, $7.58 deepseek-v4-pro: 56.3 +/- 3.6, $7.99 deepseek-v4-pro@together: 56.3 +/- 3.6, $7.99 grok-4.7: 65.6 +/- 3.5, $13.31 gemini-3.5-flash: 63.6 +/- 3.5, $15.15 claude-sonnet-5: 70.0 +/- 3.4, $17.50 gemini-3.1-pro-preview: 43.2 +/- 2.8, $20.20 gpt-5.4: 49.0 +/- 3.5, $25.25 claude-sonnet-4-6: 61.0 +/- 3.5, $26.25 claude-opus-5-5: 79.5 +/- 3.4, $35.00 claude-opus-5: 73.3 +/- 3.3, $43.75 claude-opus-4-8: 66.2 +/- 3.4, $43.75 gpt-5.5: 48.7 +/- 3.1, $50.50 claude-fable-5-1: 75.3 +/- 3.7, $87.50 gpt-6-astra: 61.5 +/- 4.6, $87.50 claude-sonnet-5claude-opus-5-5 Best, Balanced, Cheap
Fixing code, Hard
0255075100$1$10$100 qwen3.5-9b: 9.2 +/- 2.4, $0.68 gpt-oss-120b: 25.6 +/- 1.9, $1.11 gpt-4o-mini: 3.6 +/- 1.2, $1.11 codestral-2508: 11.1 +/- 2.1, $1.82 gpt-5.4-nano: 46.8 +/- 5.9, $2.09 deepseek-flash: 37.6 +/- 5.7, $2.22 deepseek-flash@together: 37.6 +/- 5.7, $2.22 gpt-4.1-mini: 32.4 +/- 3.1, $2.96 gpt-5-mini: 47.0 +/- 1.7, $3.20 gemini-3.5-flash-lite: 45.3 +/- 5.9, $3.98 gemini-3.8-flash: 54.2 +/- 5.9, $6.56 gpt-5.4-mini: 41.7 +/- 5.8, $7.58 deepseek-v4-pro: 57.1 +/- 3.5, $7.99 deepseek-v4-pro@together: 57.1 +/- 3.5, $7.99 claude-haiku-4-5: 13.9 +/- 2.7, $8.75 grok-4.7: 54.0 +/- 5.9, $13.31 gpt-4.1: 49.8 +/- 1.9, $14.80 gemini-3.5-flash: 64.2 +/- 3.1, $15.15 claude-sonnet-5: 59.4 +/- 5.8, $17.50 gemini-3.1-pro-preview: 49.8 +/- 4.0, $20.20 gpt-5.4: 69.7 +/- 2.3, $25.25 claude-sonnet-4-6: 59.9 +/- 2.2, $26.25 claude-opus-5-5: 71.7 +/- 5.3, $35.00 claude-opus-5: 65.2 +/- 5.6, $43.75 claude-opus-4-8: 50.5 +/- 5.9, $43.75 gpt-5.5: 59.0 +/- 3.6, $50.50 claude-fable-5-1: 66.1 +/- 5.6, $87.50 gpt-6-astra: 57.3 +/- 5.8, $87.50 claude-sonnet-5 Cheapclaude-opus-5-5 Best, Balanced
SQL and data queries, Medium
0255075100$1$10 gpt-5.4-nano: 50.6 +/- 6.9, $0.41 deepseek-flash: 46.1 +/- 6.9, $0.48 deepseek-flash@together: 46.1 +/- 6.9, $0.48 gemini-3.5-flash-lite: 40.6 +/- 6.8, $0.74 gemini-3.8-flash: 45.3 +/- 6.9, $1.35 gpt-5.4-mini: 49.4 +/- 6.9, $1.50 deepseek-v4-pro: 48.2 +/- 6.9, $1.85 deepseek-v4-pro@together: 48.2 +/- 6.9, $1.85 gemini-3.5-flash: 50.5 +/- 6.9, $3.00 grok-4.7: 44.9 +/- 6.9, $3.08 claude-sonnet-5: 42.4 +/- 6.9, $3.60 gemini-3.1-pro-preview: 52.4 +/- 6.9, $4.00 gpt-5.4: 51.8 +/- 6.9, $5.00 claude-sonnet-4-6: 45.1 +/- 6.9, $5.40 claude-opus-5-5: 52.3 +/- 6.9, $7.20 claude-opus-5: 52.0 +/- 6.9, $9.00 claude-opus-4-8: 51.1 +/- 6.9, $9.00 gpt-5.5: 55.9 +/- 6.9, $10.00 gpt-6-astra: 58.4 +/- 6.8, $18.00 claude-fable-5-1: 56.2 +/- 6.9, $18.00 gpt-5.4-nano Best, Balanced, Cheapclaude-sonnet-5
Questions about a document, Hard
0255075100$1$2$5$10$20$50 gpt-oss-120b: 36.1 +/- 5.0, $1.74 gpt-5-mini: 69.4 +/- 5.0, $3.80 gpt-4.1-mini: 44.4 +/- 5.0, $4.64 llama-3.3-70b-instruct-turbo: 33.3 +/- 5.0, $9.26 gpt-4.1: 63.9 +/- 5.0, $23.20

Sources

What these numbers are

  • These numbers come from the sources named on each row, not from Zabio's own tests. Zabio's tests are shown separately and never combined with them into one figure.
  • Sources test models at their own settings. A settings mismatch against how Zabio calls the model is marked on the row and lowers its weight.
  • Scores are compared only inside one benchmark. Task scores combine benchmarks by evidence in standard errors, so a task score is a summary, not a benchmark result.
  • A model missing from every source is listed as such rather than left out.

Results from our own tests have their own section.

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