Model comparison
Mellum2-12B-A2.5B-Instruct vs MiMo-V2.5-Pro
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-Instruct unranked (Not scored); MiMo-V2.5-Pro #14 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mellum2-12B-A2.5B-Instruct and MiMo-V2.5-Pro share 0 comparable benchmark results. 1 of 8 categories are comparable. 5 results are unique to Mellum2-12B-A2.5B-Instruct; 31 to MiMo-V2.5-Pro.
Updated July 23, 2026- Shared results
- 0
- Mellum2-12B-A2.5B-Instruct only
- 5
- MiMo-V2.5-Pro only
- 31
- Comparable categories
- 1 / 8
Treat this as a split decision. Mellum2-12B-A2.5B-Instruct makes more sense if you would rather avoid the extra latency and token burn of a reasoning model; MiMo-V2.5-Pro is the better fit if knowledge is the priority or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Mellum2-12B-A2.5B-Instruct and MiMo-V2.5-Pro finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
MiMo-V2.5-Pro is the reasoning model in the pair, while Mellum2-12B-A2.5B-Instruct is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. MiMo-V2.5-Pro gives you the larger context window at 1M, compared with 128K for Mellum2-12B-A2.5B-Instruct.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mellum2-12B-A2.5B-Instruct | MiMo-V2.5-Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mellum2-12B-A2.5B-InstructNot available | MiMo-V2.5-ProNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Mellum2-12B-A2.5B-InstructNot available | MiMo-V2.5-ProNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mellum2-12B-A2.5B-InstructNot available | MiMo-V2.5-ProNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mellum2-12B-A2.5B-Instruct128K | MiMo-V2.5-Pro1M | MiMo-V2.5-Pro lists the larger context window. |
Benchmark Deep Dive
Agentic15 benchmarks
| Benchmark | Mellum2-12B-A2.5B-Instruct | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| BFCL v4Source | 44.2% | — | Not comparable |
| Claw-EvalSource | — | 63.8% | Not comparable |
| GDPval-AASource | — | 1265 | Not comparable |
| τ³-bench resultsSource | — | 72.9% | Not comparable |
| Terminal-Bench 2.0Source | — | 68.4% | Not comparable |
| AA Agentic IndexSource | — | 29.1% | Not comparable |
| τ²-bench resultsSource | — | 94.2% | Not comparable |
| GDPval-AASource | — | 38.3% | Not comparable |
| APEX-Agents-AASource | — | 2.4% | Not comparable |
| Gert LabsSource | — | 62.70% | Not comparable |
| AA BriefcaseSource | — | 873 | Not comparable |
| AA ITBenchSource | — | 38.2% | Not comparable |
| terminalBenchHardSource | — | 43.2% | Not comparable |
| aaTerminalBench21Source | — | 65.2% | Not comparable |
| AA Harvey LABSource | — | 73.3% | Not comparable |
Coding4 benchmarks
Reasoning2 benchmarks
KnowledgeMiMo-V2.5-Pro wins12 benchmarks
| Benchmark | Mellum2-12B-A2.5B-Instruct | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| MMLU-ReduxSource | 78.1% | — | Not comparable |
| GPQASource | 40.9% | — | Not comparable |
| GPQA-DSource | 40.9% | — | Not comparable |
| HLESource | — | 48% | Not comparable |
| HLE w/o toolsSource | — | 34% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 42.2% | Not comparable |
| AA-GPQA DiamondSource | — | 86.6% | Not comparable |
| AA-HLESource | — | 33.8% | Not comparable |
| AA-Omniscience IndexSource | — | 3.6% | Not comparable |
| AA-Omniscience AccuracySource | — | 22.6% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 24.5% | Not comparable |
| AA Openness IndexSource | — | 38.9% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Mellum2-12B-A2.5B-Instruct | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1298 | Not comparable |
Frequently Asked Questions (2)
Which is better, Mellum2-12B-A2.5B-Instruct or MiMo-V2.5-Pro?
Mellum2-12B-A2.5B-Instruct and MiMo-V2.5-Pro are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, Mellum2-12B-A2.5B-Instruct or MiMo-V2.5-Pro?
MiMo-V2.5-Pro has the edge for knowledge tasks in this comparison, averaging 48 versus 40.9. Mellum2-12B-A2.5B-Instruct stays close enough that the answer can still flip depending on your workload.
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