Model comparison
Mistral Large 2 (24.07) vs Mistral Large (24.02)
- Input
- $2.00 per 1M tokens
- Output
- $6.00 per 1M tokens
- Context
- 128K tokens
- Released
- 2024-07-24
- Input
- $8.00 per 1M tokens (launch, Feb 2024)
- Output
- $24.00 per 1M tokens (launch, Feb 2024)
- Context
- 32K tokens
- Released
- 2024-02-26
Mistral Large 2 (24.07) scores higher on 1 of the 1 benchmarks both models report; Mistral Large 2 (24.07) is cheaper on input tokens ($2 vs $8 per 1M, 4×); Mistral Large 2 (24.07) has the larger context window (128K vs 32K); Mistral Large 2 (24.07) ships open weights while Mistral Large (24.02) is API-only.
Specs and pricing side by side
| Spec | Mistral Large 2 (24.07) | Mistral Large (24.02) |
|---|---|---|
| Maker | Mistral AI | Mistral AIsame |
| Released | 2024-07-24 | 2024-02-26 |
| Context window | 128K tokens | 32K tokens |
| Max output | Not officially published by Mistral for the… | Not officially published by Mistral for the…same |
| Input price | $2.00 per 1M tokens | $8.00 per 1M tokens (launch, Feb 2024) |
| Output price | $6.00 per 1M tokens | $24.00 per 1M tokens (launch, Feb 2024) |
| Parameters | 123B (dense transformer, not a mixture-of-experts) | Not publicly disclosed by Mistral AI for the 24.02 version |
| License | Mistral Research License (MRL) — free for research and non-commercial use; commercial use requires a separate Mistral Commercial License. | Proprietary (commercial, closed-source). API-only access — no published model weights. |
| Weights | Open weights | API only |
| Modalities | text | text input, text output |
| Knowledge cutoff | Not officially disclosed by Mistral for the… | Not officially published by Mistral AI |
Benchmarks both models report
| Benchmark | Mistral Large 2 (24.07) | Mistral Large (24.02) |
|---|---|---|
| MMLU | 84% | 81.2% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick Mistral Large 2 (24.07) if…
- You care about MMLU (it scores higher on 1 shared benchmark).
- Cost matters: input tokens cost 4× less ($2 vs $8 per 1M).
- You need the longer context (128K vs 32K).
- You want to self-host or fine-tune (open weights, Mistral Research License (MRL) — free for research and non-commercial use; commercial use requires a separate Mistral Commercial License.).
- You need text input, which Mistral Large (24.02) lacks.
Pick Mistral Large (24.02) if…
- You need text input / text output input, which Mistral Large 2 (24.07) lacks.
- Your use case is: complex multilingual reasoning and text generation across English and major European languages.
FAQ
Which is better, Mistral Large 2 (24.07) or Mistral Large (24.02)?
Mistral Large 2 (24.07) scores higher on 1 of the 1 benchmarks both models report; Mistral Large 2 (24.07) is cheaper on input tokens ($2 vs $8 per 1M, 4×); Mistral Large 2 (24.07) has the larger context window (128K vs 32K); Mistral Large 2 (24.07) ships open weights while Mistral Large (24.02) is API-only. The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How much cheaper is Mistral Large 2 (24.07)?
Mistral Large 2 (24.07): $2.00 per 1M tokens input, $6.00 per 1M tokens output. Mistral Large (24.02): $8.00 per 1M tokens (launch, Feb 2024) input, $24.00 per 1M tokens (launch, Feb 2024) output (list API prices as published by each maker).
What are the context windows of Mistral Large 2 (24.07) and Mistral Large (24.02)?
Mistral Large 2 (24.07) offers 128K tokens with up to Not officially published by Mistral for the 2407 release; omitted to avoid an unverified figure. output; Mistral Large (24.02) offers 32K tokens with up to Not officially published by Mistral for the 24.02 release output.
Is Mistral Large 2 (24.07) newer than Mistral Large (24.02)?
Mistral Large 2 (24.07) was released 2024-07-24; Mistral Large (24.02) was released 2024-02-26.