Model comparison
Mistral Large 3 vs Nemotron 3 Nano Omni 30B A3B
Head-to-head evidence from 15 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Mistral Large 3 #118 (Supported); Nemotron 3 Nano Omni 30B A3B #159 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mistral Large 3 and Nemotron 3 Nano Omni 30B A3B share 15 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Mistral Large 3; 14 to Nemotron 3 Nano Omni 30B A3B.
Updated July 27, 2026- Shared results
- 15
- Mistral Large 3 only
- 1
- Nemotron 3 Nano Omni 30B A3B only
- 14
- Comparable categories
- 0 / 8
Benchmark data for Mistral Large 3 and Nemotron 3 Nano Omni 30B A3B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 6 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 Large 3 is priced at $0.50 input / $1.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Nano Omni 30B A3B. Nemotron 3 Nano Omni 30B A3B has the larger context window at 256K, compared with 128K for Mistral Large 3.
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 Large 3 | Δ | Nemotron 3 Nano Omni 30B A3B |
|---|---|---|---|
| Coding | Mistral Large 3Not measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B32.0 |
| Knowledge | Mistral Large 3Not measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B76.3 |
| Multimodal | Mistral Large 3Not measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B76.3 |
| Inst. Following | Mistral Large 3Not measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B74.2 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mistral Large 3 | Nemotron 3 Nano Omni 30B A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral Large 3$0.5 input / $1.5 output | Nemotron 3 Nano Omni 30B A3B$0 input / $0 output | Nemotron 3 Nano Omni 30B A3B has the lower combined listed price. |
| Generation speedtokens per second | Mistral Large 348 tok/s | Nemotron 3 Nano Omni 30B A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral Large 31.04 s | Nemotron 3 Nano Omni 30B A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral Large 3128K | Nemotron 3 Nano Omni 30B A3B256K | Nemotron 3 Nano Omni 30B A3B lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Mistral Large 3 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 15.9% | 14.9% | Mistral Large 3 leads |
| AA-GPQA DiamondSource | 68.0% | 46.9% | Mistral Large 3 leads |
| AA-HLESource | 4.1% | 5.3% | Nemotron 3 Nano Omni 30B A3B leads |
| AA-Omniscience IndexSource | -39.4% | -56.0% | Mistral Large 3 leads |
| AA-Omniscience AccuracySource | 24.1% | 14.8% | Mistral Large 3 leads |
| AA-Omniscience Hallucination RateSource | 83.7% | 83.1% | Nemotron 3 Nano Omni 30B A3B leads |
| MMLU-ProSource | — | 77.3% | Not comparable |
| GPQASource | — | 72.2% | Not comparable |
| GPQA-DSource | — | 72.2% | Not comparable |
Math1 benchmarks
| Benchmark | Mistral Large 3 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| AIME 2025Source | — | 82.1% | Not comparable |
Multimodal8 benchmarks
| Benchmark | Mistral Large 3 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 55.7% | 53.2% | Mistral Large 3 leads |
| MMMUSource | — | 70.8% | Not comparable |
| MMLongBench-DocSource | — | 57.5% | Not comparable |
| CharXivSource | — | 76.3% | Not comparable |
| ScreenSpot ProSource | — | 57.8% | Not comparable |
| Video-MME (w/o subtitle)Source | — | 72.2% | Not comparable |
| AI2D_TESTSource | — | 88.5% | Not comparable |
| RefCOCO (avg)Source | — | 90.5% | Not comparable |
Frequently Asked Questions (3)
Can I compare Mistral Large 3 and Nemotron 3 Nano Omni 30B A3B 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 Large 3 and Nemotron 3 Nano Omni 30B A3B today?
Mistral Large 3: $0.50 input / $1.50 output per 1M tokens Nemotron 3 Nano Omni 30B A3B: $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.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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