Model comparison
DeepSeek V4 Pro (Max) vs MiMo-V2.5-Pro
Head-to-head evidence from 27 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Pro (Max) unranked (Not scored); MiMo-V2.5-Pro #14 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Pro (Max) and MiMo-V2.5-Pro share 27 comparable benchmark results. 3 of 8 categories are comparable. 21 results are unique to DeepSeek V4 Pro (Max); 4 to MiMo-V2.5-Pro.
Updated July 23, 2026- Shared results
- 27
- DeepSeek V4 Pro (Max) only
- 21
- MiMo-V2.5-Pro only
- 4
- Comparable categories
- 3 / 8
Treat this as a split decision. DeepSeek V4 Pro (Max) makes more sense if coding is the priority; MiMo-V2.5-Pro is the better fit if its strengths line up with your actual workload.
Confidence note. This is a partial-evidence comparison with 27 shared benchmark results across 6 evidence categories; 3 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 (Max) and MiMo-V2.5-Pro 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.
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 (Max) | Δ | MiMo-V2.5-Pro |
|---|---|---|---|
| Coding | DeepSeek V4 Pro (Max)70.9 | Margin← 13.7 | MiMo-V2.5-Pro57.2 |
| Knowledge | DeepSeek V4 Pro (Max)60.1 | Margin← 12.1 | MiMo-V2.5-Pro48.0 |
| Agentic | DeepSeek V4 Pro (Max)74.5 | Margin← 6.1 | MiMo-V2.5-Pro68.4 |
| Math | DeepSeek V4 Pro (Max)95.2 | MarginNo overlap | MiMo-V2.5-ProNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 37.7%B 48%Winner: MiMo-V2.5-ProΔ 10.3HLE: DeepSeek V4 Pro (Max) scored 37.7%; MiMo-V2.5-Pro scored 48%. MiMo-V2.5-Pro wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 55.4%B 57.2%Winner: MiMo-V2.5-ProΔ 1.8SWE-bench Pro: DeepSeek V4 Pro (Max) scored 55.4%; MiMo-V2.5-Pro scored 57.2%. MiMo-V2.5-Pro wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 67.9%B 68.4%Winner: MiMo-V2.5-ProΔ 0.5Terminal-Bench 2.0: DeepSeek V4 Pro (Max) scored 67.9%; MiMo-V2.5-Pro scored 68.4%. MiMo-V2.5-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 (Max) | MiMo-V2.5-Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro (Max)$0.435 input / $0.87 output | MiMo-V2.5-ProNot available | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek V4 Pro (Max)Not available | MiMo-V2.5-ProNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 Pro (Max)Not available | MiMo-V2.5-ProNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro (Max)1M | MiMo-V2.5-Pro1M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticDeepSeek V4 Pro (Max) wins20 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 67.9% | 68.4% | MiMo-V2.5-Pro leads |
| BrowseCompSource | 83.4% | — | Not comparable |
| HLE w/ toolsSource | 48.2% | — | Not comparable |
| MCP AtlasSource | 73.6% | — | Not comparable |
| GDPval-AASource | 1307 | 1265 | DeepSeek V4 Pro (Max) leads |
| ToolathlonSource | 51.8% | — | Not comparable |
| AA Agentic IndexSource | 36.4% | 29.1% | DeepSeek V4 Pro (Max) leads |
| APEX-Agents-AASource | 24.3% | 2.4% | DeepSeek V4 Pro (Max) leads |
| τ²-bench resultsSource | 96.2% | 94.2% | DeepSeek V4 Pro (Max) leads |
| GDPval-AASource | 40.4% | 38.3% | DeepSeek V4 Pro (Max) leads |
| AA BriefcaseSource | 932 | 873 | DeepSeek V4 Pro (Max) leads |
| AA EnterpriseOps-GymSource | 40.4% | — | Not comparable |
| AA Harvey LABSource | 84.4% | 73.3% | DeepSeek V4 Pro (Max) leads |
| AA ITBenchSource | 38.3% | 38.2% | DeepSeek V4 Pro (Max) leads |
| AA Tau3 BankingSource | 25.8% | — | Not comparable |
| terminalBenchHardSource | 46.2% | 43.2% | DeepSeek V4 Pro (Max) leads |
| aaTerminalBench21Source | 64% | 65.2% | MiMo-V2.5-Pro leads |
| Claw-EvalSource | — | 63.8% | Not comparable |
| τ³-bench resultsSource | — | 72.9% | Not comparable |
| Gert LabsSource | — | 62.70% | Not comparable |
CodingDeepSeek V4 Pro (Max) wins8 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| CodeforcesSource | 3206.0 | — | Not comparable |
| SWE-bench VerifiedSource | 80.6% | — | Not comparable |
| SWE-bench ProSource | 55.4% | 57.2% | MiMo-V2.5-Pro leads |
| SWE MultilingualSource | 76.2% | — | Not comparable |
| Terminal-Bench 2.0Source | 67.9% | 68.4% | MiMo-V2.5-Pro leads |
| Vibe Code BenchSource | 49.93% | — | Not comparable |
| AA Coding IndexSource | 59.4% | 60.2% | MiMo-V2.5-Pro leads |
| AA-SciCodeSource | 50.0% | 50.2% | MiMo-V2.5-Pro leads |
Reasoning4 benchmarks
KnowledgeDeepSeek V4 Pro (Max) wins14 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| MMLU-ProSource | 87.5% | — | Not comparable |
| SimpleQASource | 57.9% | — | Not comparable |
| Chinese-SimpleQASource | 84.4% | — | Not comparable |
| GPQASource | 90.1% | — | Not comparable |
| GPQA-DSource | 90.1% | — | Not comparable |
| HLESource | 37.7% | 48% | MiMo-V2.5-Pro leads |
| Artificial Analysis Intelligence IndexSource | 44.3% | 42.2% | DeepSeek V4 Pro (Max) leads |
| AA-GPQA DiamondSource | 88.8% | 86.6% | DeepSeek V4 Pro (Max) leads |
| AA-HLESource | 35.9% | 33.8% | DeepSeek V4 Pro (Max) leads |
| AA-Omniscience IndexSource | -10.0% | 3.6% | MiMo-V2.5-Pro leads |
| AA-Omniscience AccuracySource | 43.3% | 22.6% | DeepSeek V4 Pro (Max) leads |
| AA-Omniscience Hallucination RateSource | 94.0% | 24.5% | MiMo-V2.5-Pro leads |
| AA Openness IndexSource | 50.0% | 38.9% | DeepSeek V4 Pro (Max) leads |
| HLE w/o toolsSource | — | 34% | Not comparable |
Math4 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1264 | 1298 | MiMo-V2.5-Pro leads |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 76.5% | 79.9% | MiMo-V2.5-Pro leads |
Frequently Asked Questions (4)
Which is better, DeepSeek V4 Pro (Max) or MiMo-V2.5-Pro?
DeepSeek V4 Pro (Max) and MiMo-V2.5-Pro 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 (Max) or MiMo-V2.5-Pro?
DeepSeek V4 Pro (Max) has the edge for knowledge tasks in this comparison, averaging 60.1 versus 48. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, DeepSeek V4 Pro (Max) or MiMo-V2.5-Pro?
DeepSeek V4 Pro (Max) has the edge for coding in this comparison, averaging 70.9 versus 57.2. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, DeepSeek V4 Pro (Max) or MiMo-V2.5-Pro?
DeepSeek V4 Pro (Max) has the edge for agentic tasks in this comparison, averaging 74.5 versus 68.4. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.
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