Model comparison
Gemini 3.5 Flash vs Mellum2-12B-A2.5B-Thinking
Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3.5 Flash #33 (Estimated); Mellum2-12B-A2.5B-Thinking unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.5 Flash and Mellum2-12B-A2.5B-Thinking share 2 comparable benchmark results. 2 of 8 categories are comparable. 44 results are unique to Gemini 3.5 Flash; 3 to Mellum2-12B-A2.5B-Thinking.
Updated July 23, 2026- Shared results
- 2
- Gemini 3.5 Flash only
- 44
- Mellum2-12B-A2.5B-Thinking only
- 3
- Comparable categories
- 2 / 8
Treat this as a split decision. Gemini 3.5 Flash makes more sense if you need the larger 1M 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 2 shared benchmark results across 1 evidence category; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Gemini 3.5 Flash 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.
Gemini 3.5 Flash gives you the larger context window at 1M, 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 | Gemini 3.5 Flash | Δ | Mellum2-12B-A2.5B-Thinking |
|---|---|---|---|
| Knowledge | Gemini 3.5 Flash47.2 | Margin→ 10.4 | Mellum2-12B-A2.5B-Thinking57.6 |
| Inst. Following | Gemini 3.5 Flash76.3 | Margin→ 0.2 | Mellum2-12B-A2.5B-Thinking76.5 |
| Agentic | Gemini 3.5 Flash77.2 | MarginNo overlap | Mellum2-12B-A2.5B-ThinkingNot measured |
| Coding | Gemini 3.5 Flash53.9 | MarginNo overlap | Mellum2-12B-A2.5B-ThinkingNot measured |
| Reasoning | Gemini 3.5 Flash74.7 | MarginNo overlap | Mellum2-12B-A2.5B-ThinkingNot measured |
| Math | Gemini 3.5 Flash32.9 | MarginNo overlap | Mellum2-12B-A2.5B-ThinkingNot measured |
| Multimodal | Gemini 3.5 Flash83.8 | MarginNo overlap | Mellum2-12B-A2.5B-ThinkingNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 92.2%B 57.6%Winner: Gemini 3.5 FlashΔ 34.6GPQA: Gemini 3.5 Flash scored 92.2%; Mellum2-12B-A2.5B-Thinking scored 57.6%. Gemini 3.5 Flash wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.5 Flash | Mellum2-12B-A2.5B-Thinking | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.5 Flash$1.5 input / $9 output | Mellum2-12B-A2.5B-ThinkingNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemini 3.5 Flash284.2 tok/s | Mellum2-12B-A2.5B-ThinkingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.5 Flash18.55 s | Mellum2-12B-A2.5B-ThinkingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.5 Flash1M | Mellum2-12B-A2.5B-Thinking128K | Gemini 3.5 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | Gemini 3.5 Flash | Mellum2-12B-A2.5B-Thinking | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 76.2% | — | Not comparable |
| MCP AtlasSource | 83.6% | — | Not comparable |
| ToolathlonSource | 56.5% | — | Not comparable |
| OSWorld-VerifiedSource | 78.4% | — | Not comparable |
| Finance Agent v2Source | 57.9% | — | Not comparable |
| GDPval-AASource | 1349 | — | Not comparable |
| τ²-bench resultsSource | 95.3% | — | Not comparable |
| GDPval-AASource | 42.4% | — | Not comparable |
| AA Agentic IndexSource | 37.5% | — | Not comparable |
| APEX-Agents-AASource | 47.1% | — | Not comparable |
| Gert LabsSource | 61.85% | — | Not comparable |
| ResearchClawBenchSource | 18.0% | — | Not comparable |
| AA AutomationBenchSource | 42.6% | — | Not comparable |
| AA EnterpriseOps-GymSource | 50.1% | — | Not comparable |
| terminalBenchHardSource | 40.9% | — | Not comparable |
| BFCL v4Source | — | 45.6% | Not comparable |
Coding8 benchmarks
| Benchmark | Gemini 3.5 Flash | Mellum2-12B-A2.5B-Thinking | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 76.2% | — | Not comparable |
| SWE-bench ProSource | 55.1% | — | Not comparable |
| SciCodeSource | 53.1% | — | Not comparable |
| Vibe Code BenchSource | 48.68% | — | Not comparable |
| cursorBench31Source | 49.8% | — | Not comparable |
| cursorBench32Source | 48.8% | — | Not comparable |
| AA Coding IndexSource | 70.1% | — | Not comparable |
| AA-SciCodeSource | 53.1% | — | Not comparable |
Reasoning5 benchmarks
KnowledgeMellum2-12B-A2.5B-Thinking wins10 benchmarks
| Benchmark | Gemini 3.5 Flash | Mellum2-12B-A2.5B-Thinking | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 50.2% | — | Not comparable |
| GPQASource | 92.2% | 57.6% | Gemini 3.5 Flash leads |
| GPQA-DSource | 92.7% | 57.6% | Gemini 3.5 Flash leads |
| HLESource | 40.2% | — | Not comparable |
| AA-Omniscience AccuracySource | 51.9% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 60.7% | — | Not comparable |
| AA-GPQA DiamondSource | 92.2% | — | Not comparable |
| AA-HLESource | 41.0% | — | Not comparable |
| AA-Omniscience IndexSource | 22.7% | — | Not comparable |
| MMLU-ReduxSource | — | 86.2% | Not comparable |
Math2 benchmarks
Multimodal5 benchmarks
Frequently Asked Questions (3)
Which is better, Gemini 3.5 Flash or Mellum2-12B-A2.5B-Thinking?
Gemini 3.5 Flash 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, Gemini 3.5 Flash or Mellum2-12B-A2.5B-Thinking?
Mellum2-12B-A2.5B-Thinking has the edge for knowledge tasks in this comparison, averaging 57.6 versus 47.2. Inside this category, GPQA-D is the benchmark that creates the most daylight between them.
Which is better for instruction following, Gemini 3.5 Flash or Mellum2-12B-A2.5B-Thinking?
Mellum2-12B-A2.5B-Thinking has the edge for instruction following in this comparison, averaging 76.5 versus 76.3. Gemini 3.5 Flash stays close enough that the answer can still flip depending on your workload.
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