Model comparison
Mistral Small 4 vs Nemotron 3 Ultra
Head-to-head evidence from 16 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: Mistral Small 4 unranked; Nemotron 3 Ultra #24
BenchAlign evidence: Mistral Small 4 estimated; Nemotron 3 Ultra not scored. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mistral Small 4 and Nemotron 3 Ultra share 16 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Mistral Small 4; 23 to Nemotron 3 Ultra.
Updated July 16, 2026- Shared results
- 16
- Mistral Small 4 only
- 1
- Nemotron 3 Ultra only
- 23
- Comparable categories
- 0 / 8
Benchmark data for Mistral Small 4 and Nemotron 3 Ultra is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 16 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 Small 4 is priced at $0.15 input / $0.60 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Ultra. Nemotron 3 Ultra has the larger context window at 1M, compared with 256K for Mistral Small 4.
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 Small 4 | Δ | Nemotron 3 Ultra |
|---|---|---|---|
| Agentic | Mistral Small 4Not measured | MarginNo overlap | Nemotron 3 Ultra51.3 |
| Coding | Mistral Small 4Not measured | MarginNo overlap | Nemotron 3 Ultra58.3 |
| Reasoning | Mistral Small 4Not measured | MarginNo overlap | Nemotron 3 Ultra61.9 |
| Knowledge | Mistral Small 4Not measured | MarginNo overlap | Nemotron 3 Ultra54.2 |
| Multilingual | Mistral Small 4Not measured | MarginNo overlap | Nemotron 3 Ultra83.0 |
| Inst. Following | Mistral Small 4Not measured | MarginNo overlap | Nemotron 3 Ultra81.7 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mistral Small 4 | Nemotron 3 Ultra | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral Small 4$0.15 input / $0.6 output | Nemotron 3 Ultra$0 input / $0 output | Nemotron 3 Ultra has the lower combined listed price. |
| Generation speedtokens per second | Mistral Small 4175 tok/s | Nemotron 3 UltraNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral Small 40.64 s | Nemotron 3 UltraNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral Small 4256K | Nemotron 3 Ultra1M | Nemotron 3 Ultra lists the larger context window. |
Benchmark Deep Dive
Agentic12 benchmarks
| Benchmark | Mistral Small 4 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| AA Agentic IndexSource | 4.7% | 27.4% | Nemotron 3 Ultra leads |
| τ²-bench resultsSource | 41.2% | 83.3% | Nemotron 3 Ultra leads |
| GDPval-AASource | 4.4% | 33.2% | Nemotron 3 Ultra leads |
| GDPval-AASource | 588 | 1164 | Nemotron 3 Ultra leads |
| Terminal-Bench 2.0Source | — | 56.4% | Not comparable |
| PinchBenchSource | — | 90.0% | Not comparable |
| BrowseCompSource | — | 44.4% | Not comparable |
| τ³-bench resultsSource | — | 70.9% | Not comparable |
| HLE w/ toolsSource | — | 37.4% | Not comparable |
| AA BriefcaseSource | — | 870 | Not comparable |
| AA EnterpriseOps-GymSource | — | 28.9% | Not comparable |
| AA Harvey LABSource | — | 3.3% | Not comparable |
Coding8 benchmarks
| Benchmark | Mistral Small 4 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| AA Coding IndexSource | 26.6% | 49.3% | Nemotron 3 Ultra leads |
| Terminal-Bench HardSource | 17.4% | 36.4% | Nemotron 3 Ultra leads |
| AA-SciCodeSource | 38.0% | 39.9% | Nemotron 3 Ultra leads |
| SWE-bench VerifiedSource | — | 71.9% | Not comparable |
| SWE MultilingualSource | — | 67.7% | Not comparable |
| LiveCodeBench v6Source | — | 89.0% | Not comparable |
| SciCodeSource | — | 44.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 56.4% | Not comparable |
Reasoning3 benchmarks
Knowledge12 benchmarks
| Benchmark | Mistral Small 4 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 19.6% | 37.8% | Nemotron 3 Ultra leads |
| AA-GPQA DiamondSource | 76.9% | 86.7% | Nemotron 3 Ultra leads |
| AA-HLESource | 9.5% | 26.6% | Nemotron 3 Ultra leads |
| AA-Omniscience IndexSource | -29.9% | -0.8% | Nemotron 3 Ultra leads |
| AA-Omniscience AccuracySource | 22.1% | 21.6% | Mistral Small 4 leads |
| AA-Omniscience Hallucination RateSource | 66.8% | 28.5% | Nemotron 3 Ultra leads |
| GPQASource | — | 87% | Not comparable |
| GPQA-DSource | — | 87.0% | Not comparable |
| HLESource | — | 26.7% | Not comparable |
| HLE w/o toolsSource | — | 26.7% | Not comparable |
| MMLU-ProSource | — | 86.8% | Not comparable |
| AA Openness IndexSource | — | 83.3% | Not comparable |
Multilingual1 benchmarks
| Benchmark | Mistral Small 4 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 83% | Not comparable |
Multimodal2 benchmarks
Frequently Asked Questions (3)
Can I compare Mistral Small 4 and Nemotron 3 Ultra 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 Small 4 and Nemotron 3 Ultra today?
Mistral Small 4: $0.15 input / $0.60 output per 1M tokens Nemotron 3 Ultra: $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.
Related Comparisons
Explore More
The AI models change fast. We track them for you.
A weekly brief for engineers and researchers covering new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.