Model comparison
GPT-5.5 vs MiMo-V2-Pro
Head-to-head evidence from 13 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.5 #9 (Estimated); MiMo-V2-Pro #17 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.5 and MiMo-V2-Pro share 13 comparable benchmark results. 1 of 8 categories are comparable. 44 results are unique to GPT-5.5; 2 to MiMo-V2-Pro.
Updated July 22, 2026- Shared results
- 13
- GPT-5.5 only
- 44
- MiMo-V2-Pro only
- 2
- Comparable categories
- 1 / 8
Pick GPT-5.5 if you want the stronger benchmark profile. MiMo-V2-Pro only becomes the better choice if coding is the priority.
Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 5 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
GPT-5.5 is clearly ahead on the BenchAlign aggregate, 73.51 to 67.78. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
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-5.5 | Δ | MiMo-V2-Pro |
|---|---|---|---|
| Coding | GPT-5.558.6 | Margin→ 19.4 | MiMo-V2-Pro78.0 |
| Agentic | GPT-5.581.6 | MarginNo overlap | MiMo-V2-ProNot measured |
| Reasoning | GPT-5.585.0 | MarginNo overlap | MiMo-V2-ProNot measured |
| Knowledge | GPT-5.557.8 | MarginNo overlap | MiMo-V2-ProNot measured |
| Math | GPT-5.547.6 | MarginNo overlap | MiMo-V2-ProNot measured |
| Multimodal | GPT-5.570.4 | MarginNo overlap | MiMo-V2-ProNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.5 | MiMo-V2-Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.5$5 input / $30 output | MiMo-V2-ProNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.5Not available | MiMo-V2-ProNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.5Not available | MiMo-V2-ProNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.51M | MiMo-V2-Pro1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic25 benchmarks
| Benchmark | GPT-5.5 | MiMo-V2-Pro | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 82% | — | Not comparable |
| CyberGymSource | 81.8% | — | Not comparable |
| BrowseCompSource | 84.4% | — | Not comparable |
| OSWorld-VerifiedSource | 78.7% | — | Not comparable |
| MCP AtlasSource | 75.3% | — | Not comparable |
| ToolathlonSource | 55.6% | — | Not comparable |
| τ²-bench resultsSource | 93.9% | 95% | MiMo-V2-Pro leads |
| AA Agentic IndexSource | 44.9% | — | Not comparable |
| APEX-Agents-AASource | 37.7% | — | Not comparable |
| GDPval-AASource | 49.5% | — | Not comparable |
| GDPval-AASource | 1490 | — | Not comparable |
| Gert LabsSource | 72.93% | 36.68% | GPT-5.5 leads |
| ResearchClawBenchSource | 17.0% | 15.3% | GPT-5.5 leads |
| OSWorld 2.0Source | 13.0% | — | Not comparable |
| JobBenchSource | 42.7% | — | Not comparable |
| ExploitGymSource | 13.4% | — | Not comparable |
| AA BriefcaseSource | 1154 | — | Not comparable |
| AA AutomationBenchSource | 42.1% | — | Not comparable |
| AA EnterpriseOps-GymSource | 46.6% | — | Not comparable |
| AA Harvey LABSource | 86.3% | — | Not comparable |
| AA ITBenchSource | 45.8% | — | Not comparable |
| AA Tau3 BankingSource | 31.3% | — | Not comparable |
| terminalBenchHardSource | 60.6% | — | Not comparable |
| aaTerminalBench21Source | 84.3% | — | Not comparable |
| Claw-EvalSource | — | 57.8% | Not comparable |
CodingMiMo-V2-Pro wins10 benchmarks
| Benchmark | GPT-5.5 | MiMo-V2-Pro | Result |
|---|---|---|---|
| SWE-bench ProSource | 58.6% | — | Not comparable |
| Terminal-Bench 2.0Source | 82.0% | — | Not comparable |
| Vibe Code BenchSource | 69.85% | — | Not comparable |
| React Native EvalsSource | 84.7% | — | Not comparable |
| cursorBench31Source | 59.2% | — | Not comparable |
| cursorBench32Source | 58.4% | — | Not comparable |
| AA Coding IndexSource | 74.9% | — | Not comparable |
| AA-SciCodeSource | 56.1% | 42.5% | GPT-5.5 leads |
| FrontierCode 1.1 MainSource | 43.0% | — | Not comparable |
| SWE-bench VerifiedSource | — | 78% | Not comparable |
Reasoning5 benchmarks
Knowledge10 benchmarks
| Benchmark | GPT-5.5 | MiMo-V2-Pro | Result |
|---|---|---|---|
| GPQASource | 93.6% | — | Not comparable |
| GPQA-DSource | 93.6% | — | Not comparable |
| HLESource | 52.2% | — | Not comparable |
| HLE w/o toolsSource | 41.4% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 54.8% | 40.3% | GPT-5.5 leads |
| AA-GPQA DiamondSource | 93.5% | 87.0% | GPT-5.5 leads |
| AA-HLESource | 44.3% | 28.3% | GPT-5.5 leads |
| AA-Omniscience IndexSource | 20.1% | 4.9% | GPT-5.5 leads |
| AA-Omniscience AccuracySource | 56.9% | 26.8% | GPT-5.5 leads |
| AA-Omniscience Hallucination RateSource | 85.5% | 29.9% | MiMo-V2-Pro leads |
Math3 benchmarks
Multimodal5 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.5 | MiMo-V2-Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.9% | 68.8% | GPT-5.5 leads |
Frequently Asked Questions (2)
Which is better, GPT-5.5 or MiMo-V2-Pro?
GPT-5.5 is ahead on BenchLM's BenchAlign leaderboard, 73.51 to 67.78.
Which is better for coding, GPT-5.5 or MiMo-V2-Pro?
MiMo-V2-Pro has the edge for coding in this comparison, averaging 78 versus 58.6. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.