Model comparison
Mellum2-12B-A2.5B-Instruct vs Qwen 3.6 Max (preview)
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); Qwen 3.6 Max (preview) #53 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mellum2-12B-A2.5B-Instruct and Qwen 3.6 Max (preview) share 0 comparable benchmark results. 1 of 8 categories are comparable. 5 results are unique to Mellum2-12B-A2.5B-Instruct; 21 to Qwen 3.6 Max (preview).
Updated July 23, 2026- Shared results
- 0
- Mellum2-12B-A2.5B-Instruct only
- 5
- Qwen 3.6 Max (preview) only
- 21
- 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; Qwen 3.6 Max (preview) is the better fit if knowledge is the priority or you need the larger 256K 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 Qwen 3.6 Max (preview) 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.
Qwen 3.6 Max (preview) 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. Qwen 3.6 Max (preview) gives you the larger context window at 256K, 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 | Qwen 3.6 Max (preview) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mellum2-12B-A2.5B-InstructNot available | Qwen 3.6 Max (preview)Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Mellum2-12B-A2.5B-InstructNot available | Qwen 3.6 Max (preview)Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mellum2-12B-A2.5B-InstructNot available | Qwen 3.6 Max (preview)Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mellum2-12B-A2.5B-Instruct128K | Qwen 3.6 Max (preview)256K | Qwen 3.6 Max (preview) lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding5 benchmarks
Reasoning2 benchmarks
KnowledgeQwen 3.6 Max (preview) wins10 benchmarks
| Benchmark | Mellum2-12B-A2.5B-Instruct | Qwen 3.6 Max (preview) | Result |
|---|---|---|---|
| MMLU-ReduxSource | 78.1% | — | Not comparable |
| GPQASource | 40.9% | — | Not comparable |
| GPQA-DSource | 40.9% | — | Not comparable |
| SuperGPQASource | — | 73.9% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 40.0% | Not comparable |
| AA-GPQA DiamondSource | — | 88.8% | Not comparable |
| AA-HLESource | — | 28.9% | Not comparable |
| AA-Omniscience IndexSource | — | 10.2% | Not comparable |
| AA-Omniscience AccuracySource | — | 37.7% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 44.2% | Not comparable |
Math2 benchmarks
Frequently Asked Questions (2)
Which is better, Mellum2-12B-A2.5B-Instruct or Qwen 3.6 Max (preview)?
Mellum2-12B-A2.5B-Instruct and Qwen 3.6 Max (preview) 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 Qwen 3.6 Max (preview)?
Qwen 3.6 Max (preview) has the edge for knowledge tasks in this comparison, averaging 73.9 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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