Model comparison
Mistral Medium 3.5 128B vs Nemotron 3 Nano 30B
Head-to-head evidence from 15 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Mistral Medium 3.5 128B unranked (Not scored); Nemotron 3 Nano 30B #103 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mistral Medium 3.5 128B and Nemotron 3 Nano 30B share 15 comparable benchmark results. 0 of 8 categories are comparable. 10 results are unique to Mistral Medium 3.5 128B; 0 to Nemotron 3 Nano 30B.
Updated July 27, 2026- Shared results
- 15
- Mistral Medium 3.5 128B only
- 10
- Nemotron 3 Nano 30B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Mistral Medium 3.5 128B and Nemotron 3 Nano 30B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Mistral Medium 3.5 128B is priced at $1.50 input / $7.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Nano 30B. Mistral Medium 3.5 128B has the larger context window at 256K, compared with 32K for Nemotron 3 Nano 30B.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Mistral Medium 3.5 128B | Δ | Nemotron 3 Nano 30B |
|---|---|---|---|
| Coding | Mistral Medium 3.5 128B77.6 | MarginNo overlap | Nemotron 3 Nano 30BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mistral Medium 3.5 128B | Nemotron 3 Nano 30B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral Medium 3.5 128B$1.5 input / $7.5 output | Nemotron 3 Nano 30B$0 input / $0 output | Nemotron 3 Nano 30B has the lower combined listed price. |
| Generation speedtokens per second | Mistral Medium 3.5 128BNot available | Nemotron 3 Nano 30B152 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral Medium 3.5 128BNot available | Nemotron 3 Nano 30B1.90 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral Medium 3.5 128B256K | Nemotron 3 Nano 30B32K | Mistral Medium 3.5 128B lists the larger context window. |
Benchmark Deep Dive
Agentic11 benchmarks
| Benchmark | Mistral Medium 3.5 128B | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| τ³-bench resultsSource | 91.4% | — | Not comparable |
| AA Agentic IndexSource | 19.0% | 2.0% | Mistral Medium 3.5 128B leads |
| τ²-bench resultsSource | 94.2% | 40.9% | Mistral Medium 3.5 128B leads |
| GDPval-AASource | 21.6% | 0.0% | Mistral Medium 3.5 128B leads |
| GDPval-AASource | 933 | 492 | Mistral Medium 3.5 128B leads |
| Gert LabsSource | 39.10% | — | Not comparable |
| AA EnterpriseOps-GymSource | 33.7% | — | Not comparable |
| AA Harvey LABSource | 69.1% | — | Not comparable |
| terminalBenchHardSource | 33.3% | — | Not comparable |
| AA BriefcaseSource | 516 | — | Not comparable |
| AA Tau3 BankingSource | 14.4% | — | Not comparable |
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Mistral Medium 3.5 128B | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 29.9% | 14.2% | Mistral Medium 3.5 128B leads |
| AA-GPQA DiamondSource | 74.8% | 75.7% | Nemotron 3 Nano 30B leads |
| AA-HLESource | 12.8% | 10.2% | Mistral Medium 3.5 128B leads |
| AA-Omniscience IndexSource | -36.3% | -51.6% | Mistral Medium 3.5 128B leads |
| AA-Omniscience AccuracySource | 25.1% | 17.1% | Mistral Medium 3.5 128B leads |
| AA-Omniscience Hallucination RateSource | 82.0% | 82.9% | Mistral Medium 3.5 128B leads |
| AA Openness IndexSource | 33.3% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | Mistral Medium 3.5 128B | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 64.9% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Mistral Medium 3.5 128B | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| AA-IFBenchSource | 68.8% | 71.1% | Nemotron 3 Nano 30B leads |
Frequently Asked Questions (3)
Can I compare Mistral Medium 3.5 128B and Nemotron 3 Nano 30B on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Mistral Medium 3.5 128B and Nemotron 3 Nano 30B today?
Mistral Medium 3.5 128B: $1.50 input / $7.50 output per 1M tokens Nemotron 3 Nano 30B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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