Model comparison
Mistral Medium 3.5 128B vs Nemotron Ultra 253B
Head-to-head evidence from 11 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 Ultra 253B #158 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mistral Medium 3.5 128B and Nemotron Ultra 253B share 11 comparable benchmark results. 0 of 8 categories are comparable. 14 results are unique to Mistral Medium 3.5 128B; 0 to Nemotron Ultra 253B.
Updated July 27, 2026- Shared results
- 11
- Mistral Medium 3.5 128B only
- 14
- Nemotron Ultra 253B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Mistral Medium 3.5 128B and Nemotron Ultra 253B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 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 Ultra 253B. Mistral Medium 3.5 128B has the larger context window at 256K, compared with 32K for Nemotron Ultra 253B.
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 Ultra 253B |
|---|---|---|---|
| Coding | Mistral Medium 3.5 128B77.6 | MarginNo overlap | Nemotron Ultra 253BNot 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 Ultra 253B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral Medium 3.5 128B$1.5 input / $7.5 output | Nemotron Ultra 253B$0 input / $0 output | Nemotron Ultra 253B has the lower combined listed price. |
| Generation speedtokens per second | Mistral Medium 3.5 128BNot available | Nemotron Ultra 253BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral Medium 3.5 128BNot available | Nemotron Ultra 253BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral Medium 3.5 128B256K | Nemotron Ultra 253B32K | Mistral Medium 3.5 128B lists the larger context window. |
Benchmark Deep Dive
Agentic11 benchmarks
| Benchmark | Mistral Medium 3.5 128B | Nemotron Ultra 253B | Result |
|---|---|---|---|
| τ³-bench resultsSource | 91.4% | — | Not comparable |
| AA Agentic IndexSource | 19.0% | — | Not comparable |
| τ²-bench resultsSource | 94.2% | 11.4% | Mistral Medium 3.5 128B leads |
| GDPval-AASource | 21.6% | — | Not comparable |
| GDPval-AASource | 933 | — | Not comparable |
| 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 Ultra 253B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 29.9% | 9.1% | Mistral Medium 3.5 128B leads |
| AA-GPQA DiamondSource | 74.8% | 72.8% | Mistral Medium 3.5 128B leads |
| AA-HLESource | 12.8% | 8.1% | Mistral Medium 3.5 128B leads |
| AA-Omniscience IndexSource | -36.3% | -45.5% | Mistral Medium 3.5 128B leads |
| AA-Omniscience AccuracySource | 25.1% | 19.9% | Mistral Medium 3.5 128B leads |
| AA-Omniscience Hallucination RateSource | 82.0% | 81.7% | Nemotron Ultra 253B leads |
| AA Openness IndexSource | 33.3% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | Mistral Medium 3.5 128B | Nemotron Ultra 253B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 64.9% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Mistral Medium 3.5 128B | Nemotron Ultra 253B | Result |
|---|---|---|---|
| AA-IFBenchSource | 68.8% | 38.2% | Mistral Medium 3.5 128B leads |
Frequently Asked Questions (3)
Can I compare Mistral Medium 3.5 128B and Nemotron Ultra 253B 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 Ultra 253B today?
Mistral Medium 3.5 128B: $1.50 input / $7.50 output per 1M tokens Nemotron Ultra 253B: $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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