Model comparison
Gemini 2.5 Pro vs MiMo-V2.5-Pro
Head-to-head evidence from 18 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 2.5 Pro #70 (Supported); MiMo-V2.5-Pro #14 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 2.5 Pro and MiMo-V2.5-Pro share 18 comparable benchmark results. 2 of 8 categories are comparable. 6 results are unique to Gemini 2.5 Pro; 13 to MiMo-V2.5-Pro.
Updated July 21, 2026- Shared results
- 18
- Gemini 2.5 Pro only
- 6
- MiMo-V2.5-Pro only
- 13
- Comparable categories
- 2 / 8
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. Gemini 2.5 Pro only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 18 shared benchmark results across 6 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
MiMo-V2.5-Pro is clearly ahead on the BenchAlign aggregate, 70.19 to 57.25. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2.5-Pro's sharpest advantage is in knowledge, where it averages 48 against 27.4. The single biggest benchmark swing on the page is HLE, 18.8% to 48%. Gemini 2.5 Pro does hit back in coding, so the answer changes if that is the part of the workload you care about most.
MiMo-V2.5-Pro is the reasoning model in the pair, while Gemini 2.5 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
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 2.5 Pro | Δ | MiMo-V2.5-Pro |
|---|---|---|---|
| Knowledge | Gemini 2.5 Pro27.4 | Margin→ 20.6 | MiMo-V2.5-Pro48.0 |
| Coding | Gemini 2.5 Pro63.8 | Margin← 6.6 | MiMo-V2.5-Pro57.2 |
| Agentic | Gemini 2.5 ProNot measured | MarginNo overlap | MiMo-V2.5-Pro68.4 |
| Math | Gemini 2.5 Pro11.6 | 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 18.8%B 48%Winner: MiMo-V2.5-ProΔ 29.2HLE: Gemini 2.5 Pro scored 18.8%; MiMo-V2.5-Pro scored 48%. 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 | Gemini 2.5 Pro | MiMo-V2.5-Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 2.5 Pro$1.25 input / $10 output | MiMo-V2.5-ProNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemini 2.5 Pro117 tok/s | MiMo-V2.5-ProNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 2.5 Pro21.19 s | MiMo-V2.5-ProNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 2.5 Pro1M | MiMo-V2.5-Pro1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic14 benchmarks
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| AA Agentic IndexSource | 7.1% | 29.1% | MiMo-V2.5-Pro leads |
| τ²-bench resultsSource | 54.1% | 94.2% | MiMo-V2.5-Pro leads |
| Gert LabsSource | 42.01% | 62.70% | MiMo-V2.5-Pro leads |
| GDPval-AASource | 8.3% | 38.3% | MiMo-V2.5-Pro leads |
| GDPval-AASource | 665 | 1265 | MiMo-V2.5-Pro leads |
| Claw-EvalSource | — | 63.8% | Not comparable |
| τ³-bench resultsSource | — | 72.9% | Not comparable |
| Terminal-Bench 2.0Source | — | 68.4% | Not comparable |
| APEX-Agents-AASource | — | 2.4% | Not comparable |
| AA BriefcaseSource | — | 873 | Not comparable |
| AA ITBenchSource | — | 38.2% | Not comparable |
| terminalBenchHardSource | — | 43.2% | Not comparable |
| aaTerminalBench21Source | — | 65.2% | Not comparable |
| AA Harvey LABSource | — | 73.3% | Not comparable |
CodingGemini 2.5 Pro wins6 benchmarks
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 63.8% | — | Not comparable |
| Vibe Code BenchSource | 0.40% | — | Not comparable |
| AA Coding IndexSource | 33.3% | 60.2% | MiMo-V2.5-Pro leads |
| AA-SciCodeSource | 42.8% | 50.2% | MiMo-V2.5-Pro leads |
| SWE-bench ProSource | — | 57.2% | Not comparable |
| Terminal-Bench 2.0Source | — | 68.4% | Not comparable |
Reasoning2 benchmarks
KnowledgeMiMo-V2.5-Pro wins10 benchmarks
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| GPQASource | 83% | — | Not comparable |
| HLESource | 18.8% | 48% | MiMo-V2.5-Pro leads |
| Artificial Analysis Intelligence IndexSource | 25.8% | 42.2% | MiMo-V2.5-Pro leads |
| AA-GPQA DiamondSource | 84.4% | 86.6% | MiMo-V2.5-Pro leads |
| AA-HLESource | 21.1% | 33.8% | MiMo-V2.5-Pro leads |
| AA-Omniscience IndexSource | -14.3% | 3.6% | MiMo-V2.5-Pro leads |
| AA-Omniscience AccuracySource | 39.0% | 22.6% | Gemini 2.5 Pro leads |
| AA-Omniscience Hallucination RateSource | 87.4% | 24.5% | MiMo-V2.5-Pro leads |
| HLE w/o toolsSource | — | 34% | Not comparable |
| AA Openness IndexSource | — | 38.9% | Not comparable |
Math2 benchmarks
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 48.7% | 79.9% | MiMo-V2.5-Pro leads |
Frequently Asked Questions (3)
Which is better, Gemini 2.5 Pro or MiMo-V2.5-Pro?
MiMo-V2.5-Pro is ahead on BenchLM's BenchAlign leaderboard, 70.19 to 57.25. The biggest single separator in this matchup is HLE, where the scores are 18.8% and 48%.
Which is better for knowledge tasks, Gemini 2.5 Pro or MiMo-V2.5-Pro?
MiMo-V2.5-Pro has the edge for knowledge tasks in this comparison, averaging 48 versus 27.4. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, Gemini 2.5 Pro or MiMo-V2.5-Pro?
Gemini 2.5 Pro has the edge for coding in this comparison, averaging 63.8 versus 57.2. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
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