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Model

codestral-2508

codestral-2508 from Mistral 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
$0.90
Cached input
$0.03
Context window
128,000
Longest answer
128,000
Processed in
global
Prices from
23 September 2026

Calling it

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

"model": "codestral-2508"

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 $0.90 per million tokens, at the provider list price.
  • Input read from cache: $0.03 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

codestral-2508
Fixing code, Hard: 11.1 +/- 2.1 Evidence, in standard errors: -3.8 Aider polyglot: 11.1 (Same settings as ours)Fixing code, Hard11.1
The benchmarks behind each bar
Kind of jobBenchmarkScoreSettings
Fixing code, HardAider polyglot11.1Same settings as ours
Price against score in each kind of job (1)

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

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 codestral-2508claude-sonnet-5 Cheapclaude-opus-5-5 Best, Balanced

Sources

  • Epoch AIEpoch AI, Capabilities and Benchmarking, epoch.ai/benchmarks, retrieved 2026-10-01License: CC BY 4.0Read on 1 October 2026

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

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