Compare / Llama 4 Scout vs Mistral Large 2407
Llama 4 Scout vs Mistral Large 2407
Which is cheaper, which is more capable, and which does better at each kind of work, from 15 results on 3 sources that measured both models.
Llama 4 Scout or Mistral Large 2407? The short answer
- Llama 4 Scout is cheaper: $0.28 against $3.00 per million tokens, 11 times less.
- Llama 4 Scout scores higher on the Artificial Analysis Intelligence Index: 8.1 against 6.8.
- On our business benchmarks, Llama 4 Scout ranks higher for reasoning and knowledge.
- On our business benchmarks, Mistral Large 2407 ranks higher for writing.
At a glance
| Llama 4 Scout | Mistral Large 2407 | |
|---|---|---|
| Price per million tokens | $0.18 in · $0.59 out | $2.00 in · $6.00 out |
| Blended (3 in : 1 out) | $0.28 | $3.00 |
| Cheapest host, blended | $0.15 (DeepInfra, FP8) | $3.00 (Mistral) |
| Intelligence Index | 8.1 | 6.8 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | 42 | – |
| Context window | 1,310,720 tokens | 131,072 tokens |
| Weights | Open | Closed |
| Developer based in | the US | France |
Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.
Which is better for what
Each model's rank among models available today, for each kind of work, from our own benchmarks and licensed sources. The better rank is in green.
| Use case | Llama 4 Scout | Mistral Large 2407 |
|---|---|---|
| Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls | 148 of 161 | not measured |
| Reasoning and knowledgeHard questions across science, maths and general knowledge | 164 of 195 | 191 of 195 |
| WritingWhat people prefer in blind comparisons, and judged writing quality | 163 of 187 | 136 of 187 |
| Sticking to the factsSummarising without inventing things, and factual answers | 46 of 153 | not measured |
Every shared result
| Benchmark | Metric | Llama 4 Scout | Mistral Large 2407 |
|---|---|---|---|
| Arena (formerly LMArena)reported | Business, management and financeArena rating | 1,316 | 1,290 |
| Arena (formerly LMArena)reported | Creative writingArena rating | 1,289 | 1,287 |
| Arena (formerly LMArena)reported | Expert promptsArena rating | 1,309 | 1,302 |
| Arena (formerly LMArena)reported | Instruction followingArena rating | 1,299 | 1,299 |
| Arena (formerly LMArena)reported | OverallArena rating | 1,322 | 1,314 |
| Arena (formerly LMArena)reported | Writing, literature and languageArena rating | 1,305 | 1,303 |
| Artificial Analysisreported | Artificial Analysis Intelligence Indexindex score | 8.10 | 6.80 |
| Artificial Analysisreported | GPQA Diamond% of questions | 58.7% | 47.2% |
| Artificial Analysisreported | Humanity's Last Exam% of questions | 3.8% | 2.9% |
| Artificial Analysisreported | IFBench% of instructions | 39.5% | 31.6% |
| Artificial Analysisreported | Long-context reasoning (AA-LCR)% of questions | 27.7% | 2.0% |
| Artificial Analysisreported | Τ²-bench telecom% of tasks | 15.5% | 33.0% |
| UGI Leaderboardreported | Requested-length error% off the requested word count | 19.0% | 11.0% |
| UGI Leaderboardreported | Style adherencescore from 0 to 1 | 0.36 | 0.36 |
| UGI Leaderboardreported | Writing scorescore out of 100 | 26.7 | 40.9 |
Bold green marks the better value on that metric. Where a source reports ranges that overlap, the difference may not be meaningful; see the benchmark page for ranges.
Quick answers
Is Llama 4 Scout better than Mistral Large 2407?
It depends on the task. Among models available today, on our benchmarks and licensed sources, Llama 4 Scout ranks higher for reasoning and knowledge; Mistral Large 2407 ranks higher for writing.
Which is cheaper, Llama 4 Scout or Mistral Large 2407?
Llama 4 Scout costs $0.28 per million tokens (three input to one output), against $3.00 for Mistral Large 2407.
Run Llama 4 Scout and Mistral Large 2407 on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.