Model comparison
Mellum2-12B-A2.5B-Thinking vs Trinity-Large-Thinking
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); Trinity-Large-Thinking #100 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mellum2-12B-A2.5B-Thinking and Trinity-Large-Thinking share 1 comparable benchmark result. 0 of 8 categories are comparable. 4 results are unique to Mellum2-12B-A2.5B-Thinking; 18 to Trinity-Large-Thinking.
Updated July 23, 2026- Shared results
- 1
- Mellum2-12B-A2.5B-Thinking only
- 4
- Trinity-Large-Thinking only
- 18
- Comparable categories
- 0 / 8
Benchmark data for Mellum2-12B-A2.5B-Thinking and Trinity-Large-Thinking is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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.
Trinity-Large-Thinking has the larger context window at 512K, compared with 128K for Mellum2-12B-A2.5B-Thinking.
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 | Trinity-Large-Thinking |
|---|---|---|---|
| Knowledge | Mellum2-12B-A2.5B-Thinking57.6 | MarginNo overlap | Trinity-Large-ThinkingNot measured |
| Inst. Following | Mellum2-12B-A2.5B-Thinking76.5 | MarginNo overlap | Trinity-Large-ThinkingNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mellum2-12B-A2.5B-Thinking | Trinity-Large-Thinking | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mellum2-12B-A2.5B-ThinkingNot available | Trinity-Large-Thinking$0.25 input / $0.9 output | A complete price comparison is not available. |
| Generation speedtokens per second | Mellum2-12B-A2.5B-ThinkingNot available | Trinity-Large-ThinkingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mellum2-12B-A2.5B-ThinkingNot available | Trinity-Large-ThinkingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mellum2-12B-A2.5B-Thinking128K | Trinity-Large-Thinking512K | Trinity-Large-Thinking lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Mellum2-12B-A2.5B-Thinking | Trinity-Large-Thinking | Result |
|---|---|---|---|
| MMLU-ReduxSource | 86.2% | — | Not comparable |
| GPQASource | 57.6% | — | Not comparable |
| GPQA-DSource | 57.6% | 76.3% | Trinity-Large-Thinking leads |
| MMLU-Pro (Arcee)Source | — | 83.4% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 24.5% | Not comparable |
| AA-GPQA DiamondSource | — | 75.2% | Not comparable |
| AA-HLESource | — | 14.7% | Not comparable |
| AA-Omniscience IndexSource | — | -44.2% | Not comparable |
| AA-Omniscience AccuracySource | — | 22.8% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 86.6% | Not comparable |
Math1 benchmarks
| Benchmark | Mellum2-12B-A2.5B-Thinking | Trinity-Large-Thinking | Result |
|---|---|---|---|
| AIME25 (Arcee)Source | — | 96.3% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Mellum2-12B-A2.5B-Thinking | Trinity-Large-Thinking | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1165 | Not comparable |
Frequently Asked Questions (3)
Can I compare Mellum2-12B-A2.5B-Thinking and Trinity-Large-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 Mellum2-12B-A2.5B-Thinking and Trinity-Large-Thinking today?
Trinity-Large-Thinking: $0.25 input / $0.90 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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