Model comparison
Mellum2-12B-A2.5B-Thinking vs Mistral Small 4
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Mellum2-12B-A2.5B-Thinking unranked (Not scored); Mistral Small 4 #140 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mellum2-12B-A2.5B-Thinking and Mistral Small 4 share 0 comparable benchmark results. 0 of 8 categories are comparable. 5 results are unique to Mellum2-12B-A2.5B-Thinking; 16 to Mistral Small 4.
Updated July 23, 2026- Shared results
- 0
- Mellum2-12B-A2.5B-Thinking only
- 5
- Mistral Small 4 only
- 16
- Comparable categories
- 0 / 8
Benchmark data for Mellum2-12B-A2.5B-Thinking and Mistral Small 4 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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 has the larger context window at 256K, compared with 128K for Mellum2-12B-A2.5B-Thinking.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mellum2-12B-A2.5B-Thinking | Mistral Small 4 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mellum2-12B-A2.5B-ThinkingNot available | Mistral Small 4$0.15 input / $0.6 output | A complete price comparison is not available. |
| Generation speedtokens per second | Mellum2-12B-A2.5B-ThinkingNot available | Mistral Small 4175 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mellum2-12B-A2.5B-ThinkingNot available | Mistral Small 40.64 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mellum2-12B-A2.5B-Thinking128K | Mistral Small 4256K | Mistral Small 4 lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Mellum2-12B-A2.5B-Thinking | Mistral Small 4 | Result |
|---|---|---|---|
| MMLU-ReduxSource | 86.2% | — | Not comparable |
| GPQASource | 57.6% | — | Not comparable |
| GPQA-DSource | 57.6% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 19.6% | Not comparable |
| AA-GPQA DiamondSource | — | 76.9% | Not comparable |
| AA-HLESource | — | 9.5% | Not comparable |
| AA-Omniscience IndexSource | — | -29.9% | Not comparable |
| AA-Omniscience AccuracySource | — | 22.1% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 66.8% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Mellum2-12B-A2.5B-Thinking | Mistral Small 4 | Result |
|---|---|---|---|
| AA-MMMU-ProSource | — | 56.8% | Not comparable |
Frequently Asked Questions (3)
Can I compare Mellum2-12B-A2.5B-Thinking and Mistral Small 4 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 Mellum2-12B-A2.5B-Thinking and Mistral Small 4 today?
Mistral Small 4: $0.15 input / $0.60 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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