Model comparison
GPT-5.2 vs MiMo-V2.5
Head-to-head evidence from 5 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.2 #64 (Estimated); MiMo-V2.5 #62 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.2 and MiMo-V2.5 share 5 comparable benchmark results. 3 of 8 categories are comparable. 23 results are unique to GPT-5.2; 6 to MiMo-V2.5.
Updated July 21, 2026- Shared results
- 5
- GPT-5.2 only
- 23
- MiMo-V2.5 only
- 6
- Comparable categories
- 3 / 8
Pick MiMo-V2.5 if you want the stronger benchmark profile. GPT-5.2 only becomes the better choice if coding is the priority.
Confidence note. This is a partial-evidence comparison with 5 shared benchmark results across 3 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
MiMo-V2.5 has the cleaner BenchAlign overall profile here, landing at 58.62 versus 58.43. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
MiMo-V2.5's sharpest advantage is in agentic, where it averages 65.8 against 55.7. The single biggest benchmark swing on the page is MMMU-Pro, 79.5% to 77.9%. GPT-5.2 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
MiMo-V2.5 gives you the larger context window at 1M, compared with 400K for GPT-5.2.
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 | GPT-5.2 | Δ | MiMo-V2.5 |
|---|---|---|---|
| Coding | GPT-5.270.6 | Margin← 14.5 | MiMo-V2.556.1 |
| Agentic | GPT-5.255.7 | Margin→ 10.1 | MiMo-V2.565.8 |
| Multimodal | GPT-5.280.4 | Margin← 1.4 | MiMo-V2.579.0 |
| Reasoning | GPT-5.252.9 | MarginNo overlap | MiMo-V2.5Not measured |
| Knowledge | GPT-5.292.4 | MarginNo overlap | MiMo-V2.5Not measured |
| Math | GPT-5.235.2 | 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 79.5%B 77.9%Winner: GPT-5.2Δ 1.6MMMU-Pro: GPT-5.2 scored 79.5%; MiMo-V2.5 scored 77.9%. GPT-5.2 wins this benchmark. - Source ↗
CharXiv
MultimodalA 82.1%B 81%Winner: GPT-5.2Δ 1.1CharXiv: GPT-5.2 scored 82.1%; MiMo-V2.5 scored 81%. GPT-5.2 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 55.6%B 56.1%Winner: MiMo-V2.5Δ 0.5SWE-bench Pro: GPT-5.2 scored 55.6%; MiMo-V2.5 scored 56.1%. MiMo-V2.5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.2 | MiMo-V2.5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.2$1.75 input / $14 output | MiMo-V2.5Not available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.273 tok/s | MiMo-V2.5Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.2130.34 s | MiMo-V2.5Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.2400K | MiMo-V2.51M | MiMo-V2.5 lists the larger context window. |
Benchmark Deep Dive
AgenticMiMo-V2.5 wins9 benchmarks
| Benchmark | GPT-5.2 | MiMo-V2.5 | Result |
|---|---|---|---|
| BrowseCompSource | 65.8% | — | Not comparable |
| OSWorld-VerifiedSource | 47.3% | — | Not comparable |
| τ²-bench resultsSource | 84.8% | — | Not comparable |
| Gert LabsSource | 46.54% | 46.89% | MiMo-V2.5 leads |
| JobBenchSource | 34.3% | — | 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 |
CodingGPT-5.2 wins5 benchmarks
Reasoning3 benchmarks
Knowledge7 benchmarks
| Benchmark | GPT-5.2 | MiMo-V2.5 | Result |
|---|---|---|---|
| GPQASource | 92.4% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 42.2% | — | Not comparable |
| AA-GPQA DiamondSource | 90.3% | — | Not comparable |
| AA-HLESource | 35.4% | — | Not comparable |
| AA-Omniscience IndexSource | -1.0% | — | Not comparable |
| AA-Omniscience AccuracySource | 43.8% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 79.7% | — | Not comparable |
Math3 benchmarks
MultimodalGPT-5.2 wins6 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.2 | MiMo-V2.5 | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.4% | — | Not comparable |
Frequently Asked Questions (4)
Which is better, GPT-5.2 or MiMo-V2.5?
MiMo-V2.5 is ahead on BenchLM's BenchAlign leaderboard, 58.62 to 58.43. The biggest single separator in this matchup is MMMU-Pro, where the scores are 79.5% and 77.9%.
Which is better for coding, GPT-5.2 or MiMo-V2.5?
GPT-5.2 has the edge for coding in this comparison, averaging 70.6 versus 56.1. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GPT-5.2 or MiMo-V2.5?
MiMo-V2.5 has the edge for agentic tasks in this comparison, averaging 65.8 versus 55.7. Inside this category, Gert Labs is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, GPT-5.2 or MiMo-V2.5?
GPT-5.2 has the edge for multimodal and grounded tasks in this comparison, averaging 80.4 versus 79. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.
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