Model comparison
DeepSeek V4 Pro vs Mellum2-12B-A2.5B-Instruct
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: DeepSeek V4 Pro #46 (Supported); Mellum2-12B-A2.5B-Instruct unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Pro and Mellum2-12B-A2.5B-Instruct share 2 comparable benchmark results. 1 of 8 categories are comparable. 21 results are unique to DeepSeek V4 Pro; 3 to Mellum2-12B-A2.5B-Instruct.
Updated July 23, 2026- Shared results
- 2
- DeepSeek V4 Pro only
- 21
- Mellum2-12B-A2.5B-Instruct only
- 3
- Comparable categories
- 1 / 8
Treat this as a split decision. DeepSeek V4 Pro makes more sense if knowledge is the priority or you need the larger 1M context window; Mellum2-12B-A2.5B-Instruct is the better fit if its strengths line up with your actual workload.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
DeepSeek V4 Pro and Mellum2-12B-A2.5B-Instruct 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.
DeepSeek V4 Pro gives you 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 | DeepSeek V4 Pro | Δ | Mellum2-12B-A2.5B-Instruct |
|---|---|---|---|
| Knowledge | DeepSeek V4 Pro41.3 | Margin← 0.4 | Mellum2-12B-A2.5B-Instruct40.9 |
| Agentic | DeepSeek V4 Pro59.1 | MarginNo overlap | Mellum2-12B-A2.5B-InstructNot measured |
| Coding | DeepSeek V4 Pro65.3 | MarginNo overlap | Mellum2-12B-A2.5B-InstructNot measured |
| Math | DeepSeek V4 Pro31.7 | MarginNo overlap | Mellum2-12B-A2.5B-InstructNot measured |
| Inst. Following | DeepSeek V4 ProNot measured | MarginNo overlap | Mellum2-12B-A2.5B-Instruct75.8 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 72.9%B 40.9%Winner: DeepSeek V4 ProΔ 32GPQA: DeepSeek V4 Pro scored 72.9%; Mellum2-12B-A2.5B-Instruct scored 40.9%. DeepSeek V4 Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Pro | Mellum2-12B-A2.5B-Instruct | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro$0.435 input / $0.87 output | Mellum2-12B-A2.5B-InstructNot available | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek V4 ProNot available | Mellum2-12B-A2.5B-InstructNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 ProNot available | Mellum2-12B-A2.5B-InstructNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro1M | Mellum2-12B-A2.5B-Instruct128K | DeepSeek V4 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | DeepSeek V4 Pro | Mellum2-12B-A2.5B-Instruct | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | — | Not comparable |
| MCP AtlasSource | 69.4% | — | Not comparable |
| ToolathlonSource | 46.3% | — | Not comparable |
| Claw-EvalSource | 59.8% | — | Not comparable |
| Gert LabsSource | 50.28% | — | Not comparable |
| ResearchClawBenchSource | 17.1% | — | Not comparable |
| BFCL v4Source | — | 44.2% | Not comparable |
Coding4 benchmarks
Reasoning2 benchmarks
KnowledgeDeepSeek V4 Pro wins7 benchmarks
| Benchmark | DeepSeek V4 Pro | Mellum2-12B-A2.5B-Instruct | Result |
|---|---|---|---|
| MMLU-ProSource | 82.9% | — | Not comparable |
| SimpleQASource | 45% | — | Not comparable |
| Chinese-SimpleQASource | 75.8% | — | Not comparable |
| GPQASource | 72.9% | 40.9% | DeepSeek V4 Pro leads |
| GPQA-DSource | 72.9% | 40.9% | DeepSeek V4 Pro leads |
| HLESource | 7.7% | — | Not comparable |
| MMLU-ReduxSource | — | 78.1% | Not comparable |
Math4 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek V4 Pro | Mellum2-12B-A2.5B-Instruct | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1264 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V4 Pro | Mellum2-12B-A2.5B-Instruct | Result |
|---|---|---|---|
| IFEvalSource | — | 75.8% | Not comparable |
Frequently Asked Questions (2)
Which is better, DeepSeek V4 Pro or Mellum2-12B-A2.5B-Instruct?
DeepSeek V4 Pro and Mellum2-12B-A2.5B-Instruct 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, DeepSeek V4 Pro or Mellum2-12B-A2.5B-Instruct?
DeepSeek V4 Pro has the edge for knowledge tasks in this comparison, averaging 41.3 versus 40.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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