Open beta Zabio is in open beta: anyone can sign up and use it in production. Models, prices and features can still change while we learn from the first customers. Tell us what breaks at hello@zabio.ai.
Menu
Start free

Model

gpt-6-astra

gpt-6-astra from OpenAI, Frontier class. List prices per million tokens, and what the public benchmarks say about it.

Class
Frontier
Input, per million
$10.00
Output, per million
$50.00
Cached input
$1.00
Context window
400,000
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": "gpt-6-astra"

Supports: images, JSON schema

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

What it costs

  • Input $10.00 and output $50.00 per million tokens, at the provider list price.
  • Input read from cache: $1.00 per million tokens.
  • gpt-6-astra: prompts over 272,001 tokens cost $20.00 in and $75.00 out per 1M 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

gpt-6-astra
Writing, Medium: 83.8 +/- 3.2 Evidence, in standard errors: 2.6 LiveBench Language: 89.4 (Different settings) LiveBench paraphrase: 78.3 (Different settings) LMArena text style control, instruction following: 1,473.1 (Different settings)Writing, Medium83.8Creative writing, Medium: 74.0 +/- 6.2 Evidence, in standard errors: 1.2 LiveBench story generation: 74.0 (Different settings) LMArena text style control, creative writing: 1,448.3 (Different settings)Creative writing, Medium74.0Summarizing, Medium: 79.6 +/- 5.7 Evidence, in standard errors: 0.8 LiveBench summarize: 79.6 (Different settings)Summarizing, Medium79.6Pulling out data, Medium: 91.5 +/- 1.6 Evidence, in standard errors: 2.4 LiveBench Data Analysis: 83.0 (Different settings) LiveBench tablereformat: 100.0 (Different settings) LMArena text style control, instruction following: 1,473.1 (Different settings)Pulling out data, Medium91.5Sorting into categories, Medium: 75.6 +/- 3.0 Evidence, in standard errors: 1.6 LiveBench IF: 75.6 (Different settings)Sorting into categories, Medium75.6Conversation, Medium: 75.6 +/- 1.4 Evidence, in standard errors: 3.1 SimpleQA Verified: 75.6 (Different settings) LMArena text style control, multi turn: 1,488.7 (Different settings)Conversation, Medium75.6Analysis and reasoning, Hard: 94.2 +/- 1.2 Evidence, in standard errors: 3.5 GPQA diamond: 95.8 (Different settings) LiveBench Reasoning: 92.7 (Different settings) LMArena text style control, hard prompts: 1,501.1 (Different settings)Analysis and reasoning, Hard94.2Analysis and reasoning, Hardest: 66.8 +/- 1.7 Evidence, in standard errors: 2.9 ARC-AGI-2: 59.6 (Same settings as ours) ARC-AGI: 86.0 (Same settings as ours) HLE: 54.8 (Same settings as ours) LMArena text style control, expert: 1,513.0 (Different settings)Analysis and reasoning, Hardest66.8Math, Medium: Rating 1,490.0 Evidence, in standard errors: 1.8 LMArena text style control, math: 1,490.0 (Different settings)Math, MediumRating 1,490.0Math, Hard: 96.8 +/- 0.9 Evidence, in standard errors: 4.5 LiveBench Mathematics: 96.8 (Different settings)Math, Hard96.8Math, Hardest: 96.8 +/- 2.6 Evidence, in standard errors: 3.3 FrontierMath-Tiers-1-3-v2-Private: 93.7 (Different settings) OTIS Mock AIME 2024-2025: 100.0 (Different settings)Math, Hardest96.8Writing code, Hard: 61.5 +/- 4.6 Evidence, in standard errors: 2.9 MirrorCode: 46.7 (Different settings) LiveBench Agentic Coding: 57.3 (Different settings) LiveBench Coding: 80.4 (Different settings) LMArena text style control, coding: 1,539.0 (Different settings) LMArena webdev, overall: 1,789.1 (Different settings)Writing code, Hard61.5Fixing code, Hard: 57.3 +/- 5.8 Evidence, in standard errors: 1.4 LiveBench Agentic Coding: 57.3 (Different settings)Fixing code, Hard57.3SQL and data queries, Medium: 58.4 +/- 6.8 Evidence, in standard errors: 1.0 LiveBench tablejoin: 58.4 (Different settings)SQL and data queries, Medium58.4Reading images, Medium: Rating 1,280.1 Evidence, in standard errors: 0.5 LMArena vision, overall: 1,280.1 (Different settings)Reading images, MediumRating 1,280.1Questions about a document, Medium: Rating 1,485.6 Evidence, in standard errors: 1.3 LMArena text style control, longer query: 1,485.6 (Different settings)Questions about a document, MediumRating 1,485.6Questions about a document, Hard: Rating 1,467.5 Evidence, in standard errors: -0.3 LMArena document, overall: 1,467.5 (Different settings)Questions about a document, HardRating 1,467.5
The benchmarks behind each bar
Kind of jobBenchmarkScoreSettings
Writing, MediumLiveBench Language89.4Different settings
Writing, MediumLiveBench paraphrase78.3Different settings
Writing, MediumLMArena text style control, instruction followingRating 1,473.1Different settings
Creative writing, MediumLiveBench story generation74.0Different settings
Creative writing, MediumLMArena text style control, creative writingRating 1,448.3Different settings
Summarizing, MediumLiveBench summarize79.6Different settings
Pulling out data, MediumLiveBench Data Analysis83.0Different settings
Pulling out data, MediumLiveBench tablereformat100.0Different settings
Pulling out data, MediumLMArena text style control, instruction followingRating 1,473.1Different settings
Sorting into categories, MediumLiveBench IF75.6Different settings
Conversation, MediumSimpleQA Verified75.6Different settings
Conversation, MediumLMArena text style control, multi turnRating 1,488.7Different settings
Analysis and reasoning, HardGPQA diamond95.8Different settings
Analysis and reasoning, HardLiveBench Reasoning92.7Different settings
Analysis and reasoning, HardLMArena text style control, hard promptsRating 1,501.1Different settings
Analysis and reasoning, HardestARC-AGI-259.6Same settings as ours
Analysis and reasoning, HardestARC-AGI86.0Same settings as ours
Analysis and reasoning, HardestHLE54.8Same settings as ours
Analysis and reasoning, HardestLMArena text style control, expertRating 1,513.0Different settings
Math, MediumLMArena text style control, mathRating 1,490.0Different settings
Math, HardLiveBench Mathematics96.8Different settings
Math, HardestFrontierMath-Tiers-1-3-v2-Private93.7Different settings
Math, HardestOTIS Mock AIME 2024-2025100.0Different settings
Writing code, HardMirrorCode46.7Different settings
Writing code, HardLiveBench Agentic Coding57.3Different settings
Writing code, HardLiveBench Coding80.4Different settings
Writing code, HardLMArena text style control, codingRating 1,539.0Different settings
Writing code, HardLMArena webdev, overallRating 1,789.1Different settings
Fixing code, HardLiveBench Agentic Coding57.3Different settings
SQL and data queries, MediumLiveBench tablejoin58.4Different settings
Reading images, MediumLMArena vision, overallRating 1,280.1Different settings
Questions about a document, MediumLMArena text style control, longer queryRating 1,485.6Different settings
Questions about a document, HardLMArena document, overallRating 1,467.5Different settings
Price against score in each kind of job (17)

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, Cheapgpt-6-astra
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, Cheapgpt-6-astra
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, Balancedgpt-6-astra
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-opus-5-5 Bestgpt-6-astra
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, Cheapgpt-6-astra
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 Cheapgemini-3.1-pro-preview Best, Balancedgpt-6-astra
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-opus-5-5 Best, Balancedgpt-6-astra
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, Balancedgpt-6-astra
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, Cheapgpt-6-astra
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-opus-5-5 Bestgpt-6-astra
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-opus-5-5 Best, Balanced, Cheapgpt-6-astra
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, Balancedgpt-6-astra
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, Cheapgpt-6-astra
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.

Where to next

News

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.