Model comparison
GPT-5.2 vs MiMo-V2.5-Pro
Head-to-head evidence from 14 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.2 #64 (Estimated); MiMo-V2.5-Pro #14 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.2 and MiMo-V2.5-Pro share 14 comparable benchmark results. 3 of 8 categories are comparable. 14 results are unique to GPT-5.2; 17 to MiMo-V2.5-Pro.
Updated July 21, 2026- Shared results
- 14
- GPT-5.2 only
- 14
- MiMo-V2.5-Pro only
- 17
- Comparable categories
- 3 / 8
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. GPT-5.2 only becomes the better choice if knowledge is the priority.
Confidence note. This is a partial-evidence comparison with 14 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
MiMo-V2.5-Pro is clearly ahead on the BenchAlign aggregate, 70.19 to 58.43. 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 agentic, where it averages 68.4 against 55.7. The single biggest benchmark swing on the page is SWE-bench Pro, 55.6% to 57.2%. GPT-5.2 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
MiMo-V2.5-Pro 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-Pro |
|---|---|---|---|
| Knowledge | GPT-5.292.4 | Margin← 44.4 | MiMo-V2.5-Pro48.0 |
| Coding | GPT-5.270.6 | Margin← 13.4 | MiMo-V2.5-Pro57.2 |
| Agentic | GPT-5.255.7 | Margin→ 12.7 | MiMo-V2.5-Pro68.4 |
| Reasoning | GPT-5.252.9 | MarginNo overlap | MiMo-V2.5-ProNot measured |
| Math | GPT-5.235.2 | MarginNo overlap | MiMo-V2.5-ProNot measured |
| Multimodal | GPT-5.280.4 | MarginNo overlap | MiMo-V2.5-ProNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Pro
CodingA 55.6%B 57.2%Winner: MiMo-V2.5-ProΔ 1.6SWE-bench Pro: GPT-5.2 scored 55.6%; MiMo-V2.5-Pro scored 57.2%. 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 | GPT-5.2 | MiMo-V2.5-Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.2$1.75 input / $14 output | MiMo-V2.5-ProNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.273 tok/s | MiMo-V2.5-ProNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.2130.34 s | MiMo-V2.5-ProNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.2400K | MiMo-V2.5-Pro1M | MiMo-V2.5-Pro lists the larger context window. |
Benchmark Deep Dive
AgenticMiMo-V2.5-Pro wins17 benchmarks
| Benchmark | GPT-5.2 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| BrowseCompSource | 65.8% | — | Not comparable |
| OSWorld-VerifiedSource | 47.3% | — | Not comparable |
| τ²-bench resultsSource | 84.8% | 94.2% | MiMo-V2.5-Pro leads |
| Gert LabsSource | 46.54% | 62.70% | MiMo-V2.5-Pro leads |
| JobBenchSource | 34.3% | — | Not comparable |
| Claw-EvalSource | — | 63.8% | Not comparable |
| GDPval-AASource | — | 1265 | Not comparable |
| τ³-bench resultsSource | — | 72.9% | Not comparable |
| Terminal-Bench 2.0Source | — | 68.4% | Not comparable |
| AA Agentic IndexSource | — | 29.1% | Not comparable |
| GDPval-AASource | — | 38.3% | 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 |
CodingGPT-5.2 wins6 benchmarks
Reasoning3 benchmarks
KnowledgeGPT-5.2 wins10 benchmarks
| Benchmark | GPT-5.2 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| GPQASource | 92.4% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 42.2% | 42.2% | MiMo-V2.5-Pro leads |
| AA-GPQA DiamondSource | 90.3% | 86.6% | GPT-5.2 leads |
| AA-HLESource | 35.4% | 33.8% | GPT-5.2 leads |
| AA-Omniscience IndexSource | -1.0% | 3.6% | MiMo-V2.5-Pro leads |
| AA-Omniscience AccuracySource | 43.8% | 22.6% | GPT-5.2 leads |
| AA-Omniscience Hallucination RateSource | 79.7% | 24.5% | MiMo-V2.5-Pro leads |
| HLESource | — | 48% | Not comparable |
| HLE w/o toolsSource | — | 34% | Not comparable |
| AA Openness IndexSource | — | 38.9% | Not comparable |
Math3 benchmarks
Multimodal5 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.2 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.4% | 79.9% | MiMo-V2.5-Pro leads |
Frequently Asked Questions (4)
Which is better, GPT-5.2 or MiMo-V2.5-Pro?
MiMo-V2.5-Pro is ahead on BenchLM's BenchAlign leaderboard, 70.19 to 58.43. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 55.6% and 57.2%.
Which is better for knowledge tasks, GPT-5.2 or MiMo-V2.5-Pro?
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 48. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, GPT-5.2 or MiMo-V2.5-Pro?
GPT-5.2 has the edge for coding in this comparison, averaging 70.6 versus 57.2. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GPT-5.2 or MiMo-V2.5-Pro?
MiMo-V2.5-Pro has the edge for agentic tasks in this comparison, averaging 68.4 versus 55.7. Inside this category, Gert Labs is the benchmark that creates the most daylight between them.
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