Model comparison
Mellum2-12B-A2.5B-Thinking vs Qwen3 235B 2507
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Mellum2-12B-A2.5B-Thinking unranked (Not scored); Qwen3 235B 2507 #78 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mellum2-12B-A2.5B-Thinking and Qwen3 235B 2507 share 1 comparable benchmark result. 1 of 8 categories are comparable. 4 results are unique to Mellum2-12B-A2.5B-Thinking; 3 to Qwen3 235B 2507.
Updated July 23, 2026- Shared results
- 1
- Mellum2-12B-A2.5B-Thinking only
- 4
- Qwen3 235B 2507 only
- 3
- Comparable categories
- 1 / 8
Treat this as a split decision. Mellum2-12B-A2.5B-Thinking makes more sense if you want the stronger reasoning-first profile; Qwen3 235B 2507 is the better fit if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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-Thinking and Qwen3 235B 2507 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.
Mellum2-12B-A2.5B-Thinking is the reasoning model in the pair, while Qwen3 235B 2507 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.
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 | Mellum2-12B-A2.5B-Thinking | Δ | Qwen3 235B 2507 |
|---|---|---|---|
| Knowledge | Mellum2-12B-A2.5B-Thinking57.6 | Margin→ 21.3 | Qwen3 235B 250778.9 |
| Multilingual | Mellum2-12B-A2.5B-ThinkingNot measured | MarginNo overlap | Qwen3 235B 250779.4 |
| Inst. Following | Mellum2-12B-A2.5B-Thinking76.5 | MarginNo overlap | Qwen3 235B 2507Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 57.6%B 77.5%Winner: Qwen3 235B 2507Δ 19.9GPQA: Mellum2-12B-A2.5B-Thinking scored 57.6%; Qwen3 235B 2507 scored 77.5%. Qwen3 235B 2507 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mellum2-12B-A2.5B-Thinking | Qwen3 235B 2507 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mellum2-12B-A2.5B-ThinkingNot available | Qwen3 235B 2507$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Mellum2-12B-A2.5B-ThinkingNot available | Qwen3 235B 2507Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mellum2-12B-A2.5B-ThinkingNot available | Qwen3 235B 2507Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mellum2-12B-A2.5B-Thinking128K | Qwen3 235B 2507128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Mellum2-12B-A2.5B-Thinking | Qwen3 235B 2507 | Result |
|---|---|---|---|
| BFCL v4Source | 45.6% | — | Not comparable |
KnowledgeQwen3 235B 2507 wins5 benchmarks
Multilingual1 benchmarks
| Benchmark | Mellum2-12B-A2.5B-Thinking | Qwen3 235B 2507 | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 79.4% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Mellum2-12B-A2.5B-Thinking | Qwen3 235B 2507 | Result |
|---|---|---|---|
| IFEvalSource | 76.5% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, Mellum2-12B-A2.5B-Thinking or Qwen3 235B 2507?
Mellum2-12B-A2.5B-Thinking and Qwen3 235B 2507 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-Thinking or Qwen3 235B 2507?
Qwen3 235B 2507 has the edge for knowledge tasks in this comparison, averaging 78.9 versus 57.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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