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Model

deepseek-flash@together

deepseek-flash@together from Together AI, Balanced class. List prices per million tokens, and what the public benchmarks say about it.

Class
Balanced
Input, per million
$0.30
Output, per million
$1.20
Cached input
$0.01
Context window
1,000,000
Longest answer
1,000,000
Processed in
global
Prices from
23 September 2026

Calling it

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

"model": "deepseek-flash@together"

Supports: tools, JSON schema

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

What it costs

  • Input $0.30 and output $1.20 per million tokens, at the provider list price.
  • Input read from cache: $0.01 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

deepseek-flash@together
Writing, Medium: 66.3 +/- 3.9 Evidence, in standard errors: -0.7 LiveBench Language: 70.1 (Same settings as ours) LiveBench paraphrase: 62.4 (Same settings as ours) LMArena text style control, instruction following: 1,427.9 (Same settings as ours)Writing, Medium66.3Creative writing, Medium: 67.3 +/- 6.6 Evidence, in standard errors: -0.2 LiveBench story generation: 67.3 (Same settings as ours) LMArena text style control, creative writing: 1,407.8 (Same settings as ours)Creative writing, Medium67.3Summarizing, Medium: 68.9 +/- 6.6 Evidence, in standard errors: -0.5 LiveBench summarize: 68.9 (Same settings as ours)Summarizing, Medium68.9Pulling out data, Medium: 83.0 +/- 2.1 Evidence, in standard errors: -0.1 LiveBench Data Analysis: 68.0 (Same settings as ours) LiveBench tablereformat: 98.0 (Same settings as ours) LMArena text style control, instruction following: 1,427.9 (Same settings as ours)Pulling out data, Medium83.0Sorting into categories, Medium: 63.1 +/- 3.4 Evidence, in standard errors: -1.2 LiveBench IF: 63.1 (Same settings as ours)Sorting into categories, Medium63.1Conversation, Medium: 33.6 +/- 1.5 Evidence, in standard errors: -0.5 SimpleQA Verified: 33.6 (Different settings) LMArena text style control, multi turn: 1,453.2 (Same settings as ours)Conversation, Medium33.6Analysis and reasoning, Medium: 61.1 +/- 3.5 Evidence, in standard errors: 0.3 SimpleBench: 61.1 (Same settings as ours)Analysis and reasoning, Medium61.1Analysis and reasoning, Hard: 79.0 +/- 2.0 Evidence, in standard errors: 0.3 GPQA diamond: 91.0 (Different settings) LiveBench Reasoning: 70.6 (Same settings as ours) LMArena text style control, hard prompts: 1,458.8 (Same settings as ours)Analysis and reasoning, Hard79.0Analysis and reasoning, Hardest: 7.0 +/- 1.0 Evidence, in standard errors: -1.3 ARC-AGI-2: 2.1 (Same settings as ours) ARC-AGI: 11.8 (Same settings as ours) LMArena text style control, expert: 1,457.1 (Same settings as ours)Analysis and reasoning, Hardest7.0Math, Medium: Rating 1,424.8 Evidence, in standard errors: -0.7 LMArena text style control, math: 1,424.8 (Same settings as ours)Math, MediumRating 1,424.8Math, Hard: 79.7 +/- 2.1 Evidence, in standard errors: -1.0 LiveBench Mathematics: 79.7 (Same settings as ours)Math, Hard79.7Math, Hardest: 76.0 +/- 1.8 Evidence, in standard errors: 1.3 FrontierMath-Tiers-1-3-v2-Private: 57.5 (Different settings) OTIS Mock AIME 2024-2025: 94.4 (Different settings)Math, Hardest76.0Writing code, Hard: 53.4 +/- 3.6 Evidence, in standard errors: -0.6 LiveBench Agentic Coding: 37.6 (Same settings as ours) LiveBench Coding: 69.2 (Same settings as ours) LMArena text style control, coding: 1,483.9 (Same settings as ours) LMArena webdev, overall: 1,620.0 (Different settings)Writing code, Hard53.4Fixing code, Hard: 37.6 +/- 5.7 Evidence, in standard errors: -0.8 LiveBench Agentic Coding: 37.6 (Same settings as ours)Fixing code, Hard37.6SQL and data queries, Medium: 46.1 +/- 6.9 Evidence, in standard errors: -0.3 LiveBench tablejoin: 46.1 (Same settings as ours)SQL and data queries, Medium46.1Questions about a document, Medium: Rating 1,447.4 Evidence, in standard errors: -0.4 LMArena text style control, longer query: 1,447.4 (Same settings as ours)Questions about a document, MediumRating 1,447.4
The benchmarks behind each bar
Kind of jobBenchmarkScoreSettings
Writing, MediumLiveBench Language70.1Same settings as ours
Writing, MediumLiveBench paraphrase62.4Same settings as ours
Writing, MediumLMArena text style control, instruction followingRating 1,427.9Same settings as ours
Creative writing, MediumLiveBench story generation67.3Same settings as ours
Creative writing, MediumLMArena text style control, creative writingRating 1,407.8Same settings as ours
Summarizing, MediumLiveBench summarize68.9Same settings as ours
Pulling out data, MediumLiveBench Data Analysis68.0Same settings as ours
Pulling out data, MediumLiveBench tablereformat98.0Same settings as ours
Pulling out data, MediumLMArena text style control, instruction followingRating 1,427.9Same settings as ours
Sorting into categories, MediumLiveBench IF63.1Same settings as ours
Conversation, MediumSimpleQA Verified33.6Different settings
Conversation, MediumLMArena text style control, multi turnRating 1,453.2Same settings as ours
Analysis and reasoning, MediumSimpleBench61.1Same settings as ours
Analysis and reasoning, HardGPQA diamond91.0Different settings
Analysis and reasoning, HardLiveBench Reasoning70.6Same settings as ours
Analysis and reasoning, HardLMArena text style control, hard promptsRating 1,458.8Same settings as ours
Analysis and reasoning, HardestARC-AGI-22.1Same settings as ours
Analysis and reasoning, HardestARC-AGI11.8Same settings as ours
Analysis and reasoning, HardestLMArena text style control, expertRating 1,457.1Same settings as ours
Math, MediumLMArena text style control, mathRating 1,424.8Same settings as ours
Math, HardLiveBench Mathematics79.7Same settings as ours
Math, HardestFrontierMath-Tiers-1-3-v2-Private57.5Different settings
Math, HardestOTIS Mock AIME 2024-202594.4Different settings
Writing code, HardLiveBench Agentic Coding37.6Same settings as ours
Writing code, HardLiveBench Coding69.2Same settings as ours
Writing code, HardLMArena text style control, codingRating 1,483.9Same settings as ours
Writing code, HardLMArena webdev, overallRating 1,620.0Different settings
Fixing code, HardLiveBench Agentic Coding37.6Same settings as ours
SQL and data queries, MediumLiveBench tablejoin46.1Same settings as ours
Questions about a document, MediumLMArena text style control, longer queryRating 1,447.4Same settings as ours
Price against score in each kind of job (16)

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 deepseek-flash@togethergemini-3.8-flash Best, Balanced, Cheap
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 deepseek-flash@togethergemini-3.8-flash Best, Balanced, Cheap
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 Cheapdeepseek-flash@togethergemini-3.8-flash Best, Balanced
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 deepseek-flash@togethergpt-5.4-mini Cheapdeepseek-v4-pro Balancedclaude-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 deepseek-flash@togethergemini-3.8-flash Best, Balanced, Cheap
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 deepseek-flash@togethergemini-3.8-flash Cheapgemini-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 deepseek-flash@togethergemini-3.5-flash Best, Balanced, Cheap
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 deepseek-flash@togethergemini-3.8-flash Cheapclaude-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 deepseek-flash@togethergemini-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 deepseek-flash@togethergpt-5-mini Best, Balanced, Cheap
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 Balanceddeepseek-flash@togetherclaude-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 deepseek-flash@togetherclaude-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 deepseek-flash@togetherclaude-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, Cheapdeepseek-flash@together

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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How routing picks between these models

Model and company names are trademarks of their owners. Zabio uses these models through their vendors' APIs and is not affiliated with the vendors.