Compare / DeepSeek V3 vs Mistral Medium 3.5
DeepSeek V3 vs Mistral Medium 3.5
Which is cheaper, which is more capable, and which does better at each kind of work, from 21 results on 3 sources that measured both models.
DeepSeek V3 or Mistral Medium 3.5? The short answer
- DeepSeek V3 is cheaper: $0.45 against $3.00 per million tokens, 6.7 times less.
- Mistral Medium 3.5 scores higher on the Artificial Analysis Intelligence Index: 14.2 against 8.5.
- On our business benchmarks, DeepSeek V3 ranks higher for sticking to the facts.
- On our business benchmarks, Mistral Medium 3.5 ranks higher for agents and tool use, reasoning and knowledge and writing.
At a glance
| DeepSeek V3 | Mistral Medium 3.5 | |
|---|---|---|
| Price per million tokens | $0.26 in · $1.03 out | $1.50 in · $7.50 out |
| Blended (3 in : 1 out) | $0.45 | $3.00 |
| Cheapest host, blended | $0.45 (StreamLake) | $3.00 (Mistral) |
| Intelligence Index | 8.5 | 14.2 |
| Spring Prompt overall | – | 21 |
| Output speed, tokens a second | – | 163 |
| Context window | 163,840 tokens | 262,144 tokens |
| Weights | Open | Closed |
| Developer based in | China | 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 | DeepSeek V3 | Mistral Medium 3.5 |
|---|---|---|
| Product listingsTurning a sparse product feed and photos into listings that can go live | not measured | 13 of 19 |
| Decks from an analysisTurning a finished analysis into a deck you could present as it is | not measured | 14 of 18 |
| Marketing planningPlanning a year of ad spend without overspending | not measured | 18 of 18 |
| Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls | 136 of 161 | 87 of 161 |
| Reasoning and knowledgeHard questions across science, maths and general knowledge | 168 of 195 | 119 of 195 |
| WritingWhat people prefer in blind comparisons, and judged writing quality | 115 of 187 | 85 of 187 |
| Sticking to the factsSummarising without inventing things, and factual answers | 25 of 153 | 99 of 153 |
| Speed under pressureGood decisions against a real clock (fast chess) | not measured | 8 of 21 |
From our research
Every shared result
| Benchmark | Metric | DeepSeek V3 | Mistral Medium 3.5 |
|---|---|---|---|
| Arena (formerly LMArena)reported | Business, management and financeArena rating | 1,350 | 1,430 |
| Arena (formerly LMArena)reported | Creative writingArena rating | 1,349 | 1,398 |
| Arena (formerly LMArena)reported | Expert promptsArena rating | 1,348 | 1,434 |
| Arena (formerly LMArena)reported | Instruction followingArena rating | 1,343 | 1,421 |
| Arena (formerly LMArena)reported | OverallArena rating | 1,358 | 1,426 |
| Arena (formerly LMArena)reported | Writing, literature and languageArena rating | 1,356 | 1,404 |
| Artificial Analysisreported | Artificial Analysis Coding Indexindex score | 23.0 | 46.9 |
| Artificial Analysisreported | Artificial Analysis Intelligence Indexindex score | 8.50 | 14.2 |
| Artificial Analysisreported | GPQA Diamond% of questions | 55.7% | 74.8% |
| Artificial Analysisreported | Humanity's Last Exam% of questions | 2.9% | 13.8% |
| Artificial Analysisreported | IFBench% of instructions | 34.8% | 68.8% |
| Artificial Analysisreported | Long-context reasoning (AA-LCR)% of questions | 29.3% | 69.3% |
| Artificial Analysisreported | SciCode% of problems | 35.8% | 40.2% |
| Artificial Analysisreported | Terminal-Bench 2.1% of tasks | 16.9% | 50.6% |
| Artificial Analysisreported | Terminal-Bench 4.0% of tasks | 0.0% | 0.0% |
| Artificial Analysisreported | Terminal-Bench Hard% of tasks | 6.8% | 33.3% |
| Artificial Analysisreported | Τ-bench banking% of tasks | 4.7% | 15.1% |
| Artificial Analysisreported | Τ²-bench telecom% of tasks | 22.8% | 94.2% |
| UGI Leaderboardreported | Requested-length error% off the requested word count | 17.0% | 18.0% |
| UGI Leaderboardreported | Style adherencescore from 0 to 1 | 0.37 | 0.35 |
| UGI Leaderboardreported | Writing scorescore out of 100 | 43.2 | 45.5 |
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 DeepSeek V3 better than Mistral Medium 3.5?
It depends on the task. Among models available today, on our benchmarks and licensed sources, DeepSeek V3 ranks higher for sticking to the facts; Mistral Medium 3.5 ranks higher for agents and tool use, reasoning and knowledge and writing.
Which is cheaper, DeepSeek V3 or Mistral Medium 3.5?
DeepSeek V3 costs $0.45 per million tokens (three input to one output), against $3.00 for Mistral Medium 3.5.
Run DeepSeek V3 and Mistral Medium 3.5 on your own prompt
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