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Mistral Large 2

Mistral's flagship dense 123B model — strong multilingual + code.

Composite 63.7 Rank #25 of 30 Mistral AI general-purpose Closed / proprietary Released 2024-07
Try Mistral Large 2 → Compare with GPT-4o → Or route via OpenRouter →

At a glance

ProviderMistral AI
Released2024-07
Tiergeneral-purpose
LicenseClosed / proprietary
Modalitiestext
Context window128k tokens
Max output8.192k tokens
API price · input$2.00 / 1M tokens
API price · output$6.00 / 1M tokens

Benchmark performance

How Mistral Large 2 stacks up against the current leader (GPT-5) and the median model in the leaderboard:

BenchmarkMistral Large 2GPT-5Median
Chatbot Arena Elo 1251 1410 1320
MMLU-Pro 69.4 86.8 78.0
GPQA Diamond 48.9 87.3 65.0
MATH 71.5 96.7 78.3
HumanEval 92.0 95.1 92.0
SWE-Bench Verified N/A 74.9 49.0

Numbers compiled from provider technical reports and Chatbot Arena. See methodology for the composite-score formula.

Don't lock in to one provider.

OpenRouter routes your requests across Mistral Large 2, GPT-5, Claude, Gemini, and 100+ other models behind a single API key — pay-as-you-go, no monthly minimum. Try OpenRouter → (affiliate · supports this site)

What does Mistral Large 2 cost in practice?

API pricing is $2.00 per 1M input tokens and $6.00 per 1M output tokens. Assuming a 50/50 input/output split, here is what that looks like at three workload sizes:

VolumePer dayPer monthPer year
1M tokens/day$4.00$120.00$1,460
10M tokens/day$40.00$1,200$14,600
100M tokens/day$400.00$12,000$146,000

Strengths & weaknesses

Where it shines

No clear top-tier strengths — this is a mid-pack model.

Where it lags

  • Arena: 1251 (rank #24 of 27, below average)
  • GPQA: 48.9 (rank #24 of 29, below average)
  • MATH: 71.5 (rank #24 of 29, below average)

Best alternatives

The closest models to Mistral Large 2 by tier and benchmark score:

ModelScore$ in / outContextAction
GPT-4o
OpenAI
66.8 $2.50 / $10.00 128k Try → · vs Mistral
Gemini 1.5 Pro
Google
67.9 $1.25 / $5.00 2M Try → · vs Mistral
Claude 3.5 Sonnet
Anthropic
69.1 $3.00 / $15.00 200k Try → · vs Mistral
GPT-4.1
OpenAI
74.5 $2.00 / $8.00 1M Try → · vs Mistral
Claude 3.7 Sonnet
Anthropic
76.0 $3.00 / $15.00 200k Try → · vs Mistral

Frequently asked questions

Is Mistral Large 2 a good model?

Mistral Large 2 scores 63.7 on the llmrank.top composite (rank #25 of 30). It trails the frontier — for top performance, look at GPT-5 (86.0). Whether it's the right fit depends on your workload — see the use-case discussion on this page.

How much does Mistral Large 2 cost?

Mistral Large 2 is priced at $2.00 per 1M input tokens and $6.00 per 1M output tokens (USD). For a 10M-token-per-day workload split 50/50, that works out to roughly $40.00/day or $14,600/year.

What is Mistral Large 2's context window?

128k tokens. For very long inputs, consider a 1M+ context model like Gemini 2.5 Pro or GPT-4.1.

Is Mistral Large 2 open source?

No — it is a closed (proprietary) model accessed only via the provider API.

What is Mistral Large 2's SWE-Bench score?

Mistral Large 2 scores not reported on SWE-Bench Verified — the benchmark that measures real-world GitHub issue resolution. Its Chatbot Arena Elo is 1251.

What are the best alternatives to Mistral Large 2?

Closest alternatives by tier and score: GPT-4o, Gemini 1.5 Pro, Claude 3.5 Sonnet. See the alternatives section on this page for side-by-side numbers.


Related: GPT-4o · Gemini 1.5 Pro · Claude 3.5 Sonnet · Full leaderboard

Spotted out-of-date numbers? Open an issue — corrections usually ship within 24h.

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