Compare / Mistral Medium 3.5 vs Nemotron 3 Nano 30B A3B
Mistral Medium 3.5 vs Nemotron 3 Nano 30B A3B
Which is cheaper, which is more capable, and which does better at each kind of work, from 24 results on 3 sources that measured both models.
Mistral Medium 3.5 or Nemotron 3 Nano 30B A3B? The short answer
- Nemotron 3 Nano 30B A3B is cheaper: $0.088 against $3.00 per million tokens, 34 times less.
- Mistral Medium 3.5 scores higher on the Artificial Analysis Intelligence Index: 14.2 against 8.9.
- Nemotron 3 Nano 30B A3B writes faster: 220 tokens a second against 163.
- On our business benchmarks, Mistral Medium 3.5 ranks higher for agents and tool use, reasoning and knowledge, writing and sticking to the facts.
At a glance
| Mistral Medium 3.5 | Nemotron 3 Nano 30B A3B | |
|---|---|---|
| Price per million tokens | $1.50 in · $7.50 out | $0.050 in · $0.20 out |
| Blended (3 in : 1 out) | $3.00 | $0.088 |
| Cheapest host, blended | $3.00 (Mistral) | $0.088 (Crusoe, FP8) |
| Intelligence Index | 14.2 | 8.9 |
| Spring Prompt overall | 21 | – |
| Output speed, tokens a second | 163 | 220 |
| Context window | 262,144 tokens | 262,144 tokens |
| Weights | Closed | Open |
| Developer based in | France | the US |
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 | Mistral Medium 3.5 | Nemotron 3 Nano 30B A3B |
|---|---|---|
| Product listingsTurning a sparse product feed and photos into listings that can go live | 13 of 19 | not measured |
| Decks from an analysisTurning a finished analysis into a deck you could present as it is | 14 of 18 | not measured |
| Marketing planningPlanning a year of ad spend without overspending | 18 of 18 | not measured |
| Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls | 87 of 161 | 145 of 161 |
| Reasoning and knowledgeHard questions across science, maths and general knowledge | 119 of 195 | 130 of 195 |
| WritingWhat people prefer in blind comparisons, and judged writing quality | 85 of 187 | 169 of 187 |
| Sticking to the factsSummarising without inventing things, and factual answers | 99 of 153 | 121 of 153 |
| Speed under pressureGood decisions against a real clock (fast chess) | 8 of 21 | not measured |
From our research
Every shared result
| Benchmark | Metric | Mistral Medium 3.5 | Nemotron 3 Nano 30B A3B |
|---|---|---|---|
| Arena (formerly LMArena)reported | OverallArena rating | 1,430 | 1,362 |
| Arena (formerly LMArena)reported | Business, management and financeArena rating | 1,430 | 1,317 |
| Arena (formerly LMArena)reported | Creative writingArena rating | 1,398 | 1,241 |
| Arena (formerly LMArena)reported | Expert promptsArena rating | 1,434 | 1,331 |
| Arena (formerly LMArena)reported | Instruction followingArena rating | 1,421 | 1,291 |
| Arena (formerly LMArena)reported | OverallArena rating | 1,426 | 1,313 |
| Arena (formerly LMArena)reported | Writing, literature and languageArena rating | 1,404 | 1,267 |
| Artificial Analysisreported | Artificial Analysis Coding Indexindex score | 46.9 | 14.4 |
| Artificial Analysisreported | Artificial Analysis Intelligence Indexindex score | 14.2 | 8.90 |
| Artificial Analysisreported | GPQA Diamond% of questions | 74.8% | 75.7% |
| Artificial Analysisreported | Humanity's Last Exam% of questions | 13.8% | 11.4% |
| Artificial Analysisreported | IFBench% of instructions | 68.8% | 71.1% |
| Artificial Analysisreported | Long-context reasoning (AA-LCR)% of questions | 69.3% | 38.0% |
| Artificial Analysisreported | Output speedtokens per second | 163 | 220 |
| Artificial Analysisreported | SciCode% of problems | 40.2% | 30.6% |
| Artificial Analysisreported | Terminal-Bench 2.1% of tasks | 50.6% | 6.7% |
| Artificial Analysisreported | Terminal-Bench 4.0% of tasks | 0.0% | 0.0% |
| Artificial Analysisreported | Terminal-Bench Hard% of tasks | 33.3% | 13.6% |
| Artificial Analysisreported | Time to first answer tokenseconds | 12.9 | 0.43 |
| Artificial Analysisreported | Τ-bench banking% of tasks | 15.1% | 6.0% |
| Artificial Analysisreported | Τ²-bench telecom% of tasks | 94.2% | 40.9% |
| UGI Leaderboardreported | Requested-length error% off the requested word count | 18.0% | 35.0% |
| UGI Leaderboardreported | Style adherencescore from 0 to 1 | 0.35 | 0.28 |
| UGI Leaderboardreported | Writing scorescore out of 100 | 45.5 | 25.9 |
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 Mistral Medium 3.5 better than Nemotron 3 Nano 30B A3B?
It depends on the task. Among models available today, on our benchmarks and licensed sources, Mistral Medium 3.5 ranks higher for agents and tool use, reasoning and knowledge, writing and sticking to the facts.
Which is cheaper, Mistral Medium 3.5 or Nemotron 3 Nano 30B A3B?
Nemotron 3 Nano 30B A3B costs $0.088 per million tokens (three input to one output), against $3.00 for Mistral Medium 3.5.
Which is faster, Mistral Medium 3.5 or Nemotron 3 Nano 30B A3B?
Nemotron 3 Nano 30B A3B writes about 220 tokens a second on its usual API, against 163 for Mistral Medium 3.5 (Artificial Analysis).
Run Mistral Medium 3.5 and Nemotron 3 Nano 30B A3B on your own prompt
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