LLM·Dex

Codestral 2 vs GPT-5 mini

A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.

Updated

Codestral 2 specs · GPT-5 mini specs
Verdict by category
  • PriceCodestral 2

    Codestral 2 is roughly 2.2× cheaper on output tokens ($0.90 vs $2.00 per 1M).

  • Context windowGPT-5 mini

    GPT-5 mini accepts 400K tokens vs 256K, 1.6× the room for long documents and codebases.

  • BenchmarksTie

    No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores.

  • ModalitiesGPT-5 mini

    GPT-5 mini supports 3 modalities (text, vision, audio) vs 1 for Codestral 2.

  • OpennessCodestral 2

    Codestral 2 ships open weights (Mistral Non-Production License); GPT-5 mini is API-only.

It's a genuine coin-flip between Codestral 2 and GPT-5 mini: 2 category wins each, with the rest tied. Codestral 2 is roughly 2.2× cheaper on output tokens ($0.90 vs $2.00 per 1M). GPT-5 mini accepts 400K tokens vs 256K, 1.6× the room for long documents and codebases.

No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. They differ in modality coverage, Codestral 2 handles text while GPT-5 mini handles text, vision, audio, which can be the deciding factor before you even look at benchmarks. Codestral 2 ships open weights (Mistral Non-Production License); GPT-5 mini is API-only.

GPT-5 mini is the newer of the two, released 7 months after Codestral 2, which usually means a more recent knowledge cutoff and updated safety post-training. Codestral 2 is usually picked for code completion and coding llm workloads, while GPT-5 mini sees more deployments in code completion and customer support. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecCodestral 2GPT-5 mini
ProviderMistralOpenAI
ReleasedJan 2025Aug 2025
Modalitiestexttext, vision, audio
Context window256K tokens400K tokens
Max output,128K tokens
Input · 1M$0.30 / 1M tokens$0.25 / 1M tokens
Output · 1M$0.90 / 1M tokens$2.00 / 1M tokens
Knowledge cutoff,2024-09
Open weightsYes (Mistral Non-Production License)No
API availableYesYes

Pricing at scale

What you'd actually pay at typical workloads. Numbers come from each model's published per-million-token rates.

  • Light usage, 100k in / 50k out per day$2.25 vs $3.75
  • Heavy usage, 1M in / 500k out per day$22.50 vs $37.50
  • RAG workload, 5M in / 200k out per day$50.40 vs $49.50

Light usage, 100k in / 50k out per day: $2.25 vs $3.75 per month, model A comes out ahead. Heavy usage, 1M in / 500k out per day: $22.50 vs $37.50 per month, model A comes out ahead. RAG workload, 5M in / 200k out per day: $50.40 vs $49.50 per month, model B comes out ahead.

Price calculator

Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.

  • Codestral 2$0.075
  • GPT-5 mini$0.125

Benchmarks compared

Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.

Codestral 2GPT-5 mini
  • HumanEval92.0
Pick Codestral 2 if

Codestral 2 fits when…

  • Fast inline completion
  • FIM support
  • Self-hostable for IP-sensitive teams
  • Cost-sensitive workloads, 2.2× cheaper than GPT-5 mini on output tokens.
  • Self-hosting and on-prem requirements, open weights (Mistral Non-Production License).
Pick GPT-5 mini if

GPT-5 mini fits when…

  • Excellent price-quality ratio for production workloads
  • Fast first-token latency
  • Same tool-use API surface as flagship
  • Long-context tasks, handles 400K tokens vs 256K for Codestral 2.
  • Multimodal needs covering vision, audio.
Don't want either?

Consider Mistral Large 2

Mistral's flagship API model, strong on code and reasoning, EU-friendly hosting.

Frequently asked

  • Is Codestral 2 or GPT-5 mini cheaper?
    Codestral 2 is cheaper at $0.90 / 1M tokens per million output tokens, vs $2.00 / 1M tokens for GPT-5 mini.
  • Which has the larger context window?
    GPT-5 mini accepts 400K tokens vs 256K for Codestral 2.
  • Is Codestral 2 or GPT-5 mini better for coding?
    Both Codestral 2 and GPT-5 mini are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.
  • Are either of these models open source?
    Codestral 2 ships open weights (Mistral Non-Production License). GPT-5 mini is API-only.
  • When were Codestral 2 and GPT-5 mini released?
    Codestral 2 was released by Mistral on 2025-01-14. GPT-5 mini was released by OpenAI on 2025-08-07.
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