Model comparison
DeepSeek-R1 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: DeepSeek-R1 #103 (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. DeepSeek-R1 and Mellum2-12B-A2.5B-Thinking share 0 comparable benchmark results. 0 of 8 categories are comparable. 11 results are unique to DeepSeek-R1; 5 to Mellum2-12B-A2.5B-Thinking.
Updated July 23, 2026- Shared results
- 0
- DeepSeek-R1 only
- 11
- Mellum2-12B-A2.5B-Thinking only
- 5
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek-R1 and Mellum2-12B-A2.5B-Thinking 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.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek-R1 | Mellum2-12B-A2.5B-Thinking | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek-R1$0.55 input / $2.19 output | Mellum2-12B-A2.5B-ThinkingNot available | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek-R1Not available | Mellum2-12B-A2.5B-ThinkingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek-R1Not available | Mellum2-12B-A2.5B-ThinkingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek-R1128K | Mellum2-12B-A2.5B-Thinking128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding1 benchmarks
| Benchmark | DeepSeek-R1 | Mellum2-12B-A2.5B-Thinking | Result |
|---|---|---|---|
| AA-SciCodeSource | 40.3% | — | Not comparable |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | DeepSeek-R1 | Mellum2-12B-A2.5B-Thinking | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 20.1% | — | Not comparable |
| AA-GPQA DiamondSource | 81.3% | — | Not comparable |
| AA-HLESource | 14.9% | — | Not comparable |
| AA-Omniscience IndexSource | -27.1% | — | Not comparable |
| AA-Omniscience AccuracySource | 31.0% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 84.0% | — | Not comparable |
| MMLU-ReduxSource | — | 86.2% | Not comparable |
| GPQASource | — | 57.6% | Not comparable |
| GPQA-DSource | — | 57.6% | Not comparable |
Frequently Asked Questions (3)
Can I compare DeepSeek-R1 and Mellum2-12B-A2.5B-Thinking 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 DeepSeek-R1 and Mellum2-12B-A2.5B-Thinking today?
DeepSeek-R1: $0.55 input / $2.19 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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