Model comparison
Gemini 3 Pro vs MiMo-V2.5
Head-to-head evidence from 3 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3 Pro #19 (Supported); MiMo-V2.5 #62 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3 Pro and MiMo-V2.5 share 3 comparable benchmark results. 1 of 8 categories are comparable. 24 results are unique to Gemini 3 Pro; 8 to MiMo-V2.5.
Updated July 21, 2026- Shared results
- 3
- Gemini 3 Pro only
- 24
- MiMo-V2.5 only
- 8
- Comparable categories
- 1 / 8
Pick Gemini 3 Pro if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 3 shared benchmark results across 2 evidence categories; 1 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 Pro is clearly ahead on the BenchAlign aggregate, 67.73 to 58.62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro's sharpest advantage is in multimodal & grounded, where it averages 81.1 against 79. The single biggest benchmark swing on the page is MMMU-Pro, 81% to 77.9%.
MiMo-V2.5 is the reasoning model in the pair, while Gemini 3 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. Gemini 3 Pro gives you the larger context window at 2M, compared with 1M for MiMo-V2.5.
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 Pro | Δ | MiMo-V2.5 |
|---|---|---|---|
| Multimodal | Gemini 3 Pro81.1 | Margin← 2.1 | MiMo-V2.579.0 |
| Agentic | Gemini 3 ProNot measured | MarginNo overlap | MiMo-V2.565.8 |
| Coding | Gemini 3 ProNot measured | MarginNo overlap | MiMo-V2.556.1 |
| Reasoning | Gemini 3 Pro31.1 | MarginNo overlap | MiMo-V2.5Not measured |
| Math | Gemini 3 Pro32.9 | MarginNo overlap | MiMo-V2.5Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
MMMU-Pro
MultimodalA 81%B 77.9%Winner: Gemini 3 ProΔ 3.1MMMU-Pro: Gemini 3 Pro scored 81%; MiMo-V2.5 scored 77.9%. Gemini 3 Pro wins this benchmark. - Source ↗
CharXiv
MultimodalA 81.4%B 81%Winner: Gemini 3 ProΔ 0.4CharXiv: Gemini 3 Pro scored 81.4%; MiMo-V2.5 scored 81%. Gemini 3 Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3 Pro | MiMo-V2.5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3 Pro$2 input / $12 output | MiMo-V2.5Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemini 3 Pro109 tok/s | MiMo-V2.5Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3 Pro32.65 s | MiMo-V2.5Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3 Pro2M | MiMo-V2.51M | Gemini 3 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | Gemini 3 Pro | MiMo-V2.5 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 87.1% | — | Not comparable |
| Gert LabsSource | 63.23% | 46.89% | Gemini 3 Pro leads |
| JobBenchSource | 11.4% | — | Not comparable |
| Claw-EvalSource | — | 62.3% | Not comparable |
| MM-ClawBenchSource | — | 23.8% | Not comparable |
| Terminal-Bench 2.0Source | — | 65.8% | Not comparable |
| ResearchClawBenchSource | — | 16.9% | Not comparable |
Coding5 benchmarks
Reasoning3 benchmarks
Knowledge7 benchmarks
| Benchmark | Gemini 3 Pro | MiMo-V2.5 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 39.5% | — | Not comparable |
| AA-GPQA DiamondSource | 90.8% | — | Not comparable |
| AA-HLESource | 37.2% | — | Not comparable |
| AA-Omniscience IndexSource | 15.8% | — | Not comparable |
| AA-Omniscience AccuracySource | 55.9% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 90.9% | — | Not comparable |
| AA MMLU-ProSource | 89.8% | — | Not comparable |
Math2 benchmarks
Multilingual1 benchmarks
| Benchmark | Gemini 3 Pro | MiMo-V2.5 | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 92.2% | — | Not comparable |
MultimodalGemini 3 Pro wins9 benchmarks
| Benchmark | Gemini 3 Pro | MiMo-V2.5 | Result |
|---|---|---|---|
| MMMU-ProSource | 81% | 77.9% | Gemini 3 Pro leads |
| MathVisionSource | 86.6% | — | Not comparable |
| VideoMMMUSource | 87.6% | — | Not comparable |
| ScreenSpot ProSource | 72.7% | — | Not comparable |
| CharXivSource | 81.4% | 81% | Gemini 3 Pro leads |
| V*Source | 88.0% | — | Not comparable |
| AA-MMMU-ProSource | 80.2% | — | Not comparable |
| Video-MME (with subtitle)Source | — | 87.7% | Not comparable |
| Design Arena WebsiteSource | — | 1291 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Gemini 3 Pro | MiMo-V2.5 | Result |
|---|---|---|---|
| AA-IFBenchSource | 70.4% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, Gemini 3 Pro or MiMo-V2.5?
Gemini 3 Pro is ahead on BenchLM's BenchAlign leaderboard, 67.73 to 58.62. The biggest single separator in this matchup is MMMU-Pro, where the scores are 81% and 77.9%.
Which is better for multimodal and grounded tasks, Gemini 3 Pro or MiMo-V2.5?
Gemini 3 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 81.1 versus 79. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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