Model comparison
Gemini 3.1 Pro vs Mellum2-12B-A2.5B-Instruct
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: Gemini 3.1 Pro #83 (Estimated); Mellum2-12B-A2.5B-Instruct unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.1 Pro and Mellum2-12B-A2.5B-Instruct share 1 comparable benchmark result. 0 of 8 categories are comparable. 46 results are unique to Gemini 3.1 Pro; 4 to Mellum2-12B-A2.5B-Instruct.
Updated July 23, 2026- Shared results
- 1
- Gemini 3.1 Pro only
- 46
- Mellum2-12B-A2.5B-Instruct only
- 4
- Comparable categories
- 0 / 8
Benchmark data for Gemini 3.1 Pro and Mellum2-12B-A2.5B-Instruct 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.
Gemini 3.1 Pro has the larger context window at 1M, compared with 128K for Mellum2-12B-A2.5B-Instruct.
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 | Gemini 3.1 Pro | Δ | Mellum2-12B-A2.5B-Instruct |
|---|---|---|---|
| Reasoning | Gemini 3.1 Pro77.1 | MarginNo overlap | Mellum2-12B-A2.5B-InstructNot measured |
| Knowledge | Gemini 3.1 ProNot measured | MarginNo overlap | Mellum2-12B-A2.5B-Instruct40.9 |
| Math | Gemini 3.1 Pro31.8 | MarginNo overlap | Mellum2-12B-A2.5B-InstructNot measured |
| Multimodal | Gemini 3.1 Pro82.6 | MarginNo overlap | Mellum2-12B-A2.5B-InstructNot measured |
| Inst. Following | Gemini 3.1 ProNot measured | MarginNo overlap | Mellum2-12B-A2.5B-Instruct75.8 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.1 Pro | Mellum2-12B-A2.5B-Instruct | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.1 Pro$2 input / $12 output | Mellum2-12B-A2.5B-InstructNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemini 3.1 Pro109 tok/s | Mellum2-12B-A2.5B-InstructNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.1 Pro29.71 s | Mellum2-12B-A2.5B-InstructNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.1 Pro1M | Mellum2-12B-A2.5B-Instruct128K | Gemini 3.1 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic17 benchmarks
| Benchmark | Gemini 3.1 Pro | Mellum2-12B-A2.5B-Instruct | Result |
|---|---|---|---|
| Claw-EvalSource | 57.8% | — | Not comparable |
| DeepSearchQASource | 69.7% | — | Not comparable |
| τ²-bench resultsSource | 95.6% | — | Not comparable |
| AA Agentic IndexSource | 21.4% | — | Not comparable |
| APEX-Agents-AASource | 32.0% | — | Not comparable |
| GDPval-AASource | 23.3% | — | Not comparable |
| GDPval-AASource | 965 | — | Not comparable |
| Gert LabsSource | 56.87% | — | Not comparable |
| ResearchClawBenchSource | 13.3% | — | Not comparable |
| AA AutomationBenchSource | 37.5% | — | Not comparable |
| AA EnterpriseOps-GymSource | 42.2% | — | Not comparable |
| AA Harvey LABSource | 58.9% | — | Not comparable |
| AA ITBenchSource | 30.3% | — | Not comparable |
| AA Tau3 BankingSource | 16.5% | — | Not comparable |
| terminalBenchHardSource | 53.8% | — | Not comparable |
| aaTerminalBench21Source | 73.8% | — | Not comparable |
| BFCL v4Source | — | 44.2% | Not comparable |
Coding5 benchmarks
Reasoning3 benchmarks
Knowledge12 benchmarks
| Benchmark | Gemini 3.1 Pro | Mellum2-12B-A2.5B-Instruct | Result |
|---|---|---|---|
| GPQA-DSource | 94.3% | 40.9% | Gemini 3.1 Pro leads |
| HLE w/o toolsSource | 45.4% | — | Not comparable |
| HealthBench HardSource | 20.6% | — | Not comparable |
| MedXpertQA (Text)Source | 71.5% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 46.5% | — | Not comparable |
| AA-GPQA DiamondSource | 94.1% | — | Not comparable |
| AA-HLESource | 44.7% | — | Not comparable |
| AA-Omniscience IndexSource | 32.9% | — | Not comparable |
| AA-Omniscience AccuracySource | 55.3% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 49.9% | — | Not comparable |
| MMLU-ReduxSource | — | 78.1% | Not comparable |
| GPQASource | — | 40.9% | Not comparable |
Math2 benchmarks
Multilingual1 benchmarks
| Benchmark | Gemini 3.1 Pro | Mellum2-12B-A2.5B-Instruct | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 93.2% | — | Not comparable |
Multimodal9 benchmarks
| Benchmark | Gemini 3.1 Pro | Mellum2-12B-A2.5B-Instruct | Result |
|---|---|---|---|
| MMMU-ProSource | 83.9% | — | Not comparable |
| CharXivSource | 80.2% | — | Not comparable |
| ERQASource | 69.4% | — | Not comparable |
| SimpleVQASource | 72.4% | — | Not comparable |
| ScreenSpot ProSource | 84.4% | — | Not comparable |
| ZeroBenchSource | 29.0% | — | Not comparable |
| MedXpertQA (MM)Source | 81.3% | — | Not comparable |
| AA-MMMU-ProSource | 82.4% | — | Not comparable |
| Design Arena WebsiteSource | 1281 | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Gemini 3.1 Pro and Mellum2-12B-A2.5B-Instruct 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 Gemini 3.1 Pro and Mellum2-12B-A2.5B-Instruct today?
Gemini 3.1 Pro: $2.00 input / $12.00 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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