Model comparison
Gemma 4 26B A4B vs Mellum2-12B-A2.5B-Thinking
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: Gemma 4 26B A4B #67 (Supported); Mellum2-12B-A2.5B-Thinking unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 26B A4B and Mellum2-12B-A2.5B-Thinking share 0 comparable benchmark results. 1 of 8 categories are comparable. 20 results are unique to Gemma 4 26B A4B; 5 to Mellum2-12B-A2.5B-Thinking.
Updated July 23, 2026- Shared results
- 0
- Gemma 4 26B A4B only
- 20
- Mellum2-12B-A2.5B-Thinking only
- 5
- Comparable categories
- 1 / 8
Treat this as a split decision. Gemma 4 26B A4B makes more sense if you need the larger 256K context window; Mellum2-12B-A2.5B-Thinking is the better fit if knowledge is the priority.
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
Gemma 4 26B A4B and Mellum2-12B-A2.5B-Thinking 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.
Gemma 4 26B A4B gives you 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 | Gemma 4 26B A4B | Mellum2-12B-A2.5B-Thinking | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 26B A4B$0 input / $0 output | Mellum2-12B-A2.5B-ThinkingNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemma 4 26B A4BNot available | Mellum2-12B-A2.5B-ThinkingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 26B A4BNot available | Mellum2-12B-A2.5B-ThinkingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 26B A4B256K | Mellum2-12B-A2.5B-Thinking128K | Gemma 4 26B A4B lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
KnowledgeMellum2-12B-A2.5B-Thinking wins12 benchmarks
| Benchmark | Gemma 4 26B A4B | Mellum2-12B-A2.5B-Thinking | Result |
|---|---|---|---|
| MMLU-ProSource | 82.6% | — | Not comparable |
| HLESource | 17.2% | — | Not comparable |
| HLE w/o toolsSource | 8.7% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 25.7% | — | Not comparable |
| AA-GPQA DiamondSource | 79.2% | — | Not comparable |
| AA-HLESource | 18.3% | — | Not comparable |
| AA-Omniscience IndexSource | -48.1% | — | Not comparable |
| AA-Omniscience AccuracySource | 18.2% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 80.9% | — | Not comparable |
| MMLU-ReduxSource | — | 86.2% | Not comparable |
| GPQASource | — | 57.6% | Not comparable |
| GPQA-DSource | — | 57.6% | Not comparable |
Multimodal2 benchmarks
Frequently Asked Questions (2)
Which is better, Gemma 4 26B A4B or Mellum2-12B-A2.5B-Thinking?
Gemma 4 26B A4B and Mellum2-12B-A2.5B-Thinking 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, Gemma 4 26B A4B or Mellum2-12B-A2.5B-Thinking?
Mellum2-12B-A2.5B-Thinking has the edge for knowledge tasks in this comparison, averaging 57.6 versus 43.4. Gemma 4 26B A4B stays close enough that the answer can still flip depending on your workload.
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