Model comparison
GPT-5.5 vs MiMo-V2-Omni
Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.5 #9 (Estimated); MiMo-V2-Omni #40 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.5 and MiMo-V2-Omni share 12 comparable benchmark results. 1 of 8 categories are comparable. 45 results are unique to GPT-5.5; 2 to MiMo-V2-Omni.
Updated July 22, 2026- Shared results
- 12
- GPT-5.5 only
- 45
- MiMo-V2-Omni only
- 2
- Comparable categories
- 1 / 8
Pick GPT-5.5 if you want the stronger benchmark profile. MiMo-V2-Omni only becomes the better choice if coding is the priority.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 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 63.15. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5 gives you the larger context window at 1M, compared with 262K for MiMo-V2-Omni.
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-Omni |
|---|---|---|---|
| Coding | GPT-5.558.6 | Margin→ 16.2 | MiMo-V2-Omni74.8 |
| Agentic | GPT-5.581.6 | MarginNo overlap | MiMo-V2-OmniNot measured |
| Reasoning | GPT-5.585.0 | MarginNo overlap | MiMo-V2-OmniNot measured |
| Knowledge | GPT-5.557.8 | MarginNo overlap | MiMo-V2-OmniNot measured |
| Math | GPT-5.547.6 | MarginNo overlap | MiMo-V2-OmniNot measured |
| Multimodal | GPT-5.570.4 | MarginNo overlap | MiMo-V2-OmniNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.5 | MiMo-V2-Omni | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.5$5 input / $30 output | MiMo-V2-OmniNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.5Not available | MiMo-V2-OmniNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.5Not available | MiMo-V2-OmniNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.51M | MiMo-V2-Omni262K | GPT-5.5 lists the larger context window. |
Benchmark Deep Dive
Agentic25 benchmarks
| Benchmark | GPT-5.5 | MiMo-V2-Omni | 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% | 91.2% | GPT-5.5 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% | — | Not comparable |
| ResearchClawBenchSource | 17.0% | — | Not comparable |
| 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 | — | 45.2% | Not comparable |
CodingMiMo-V2-Omni wins10 benchmarks
| Benchmark | GPT-5.5 | MiMo-V2-Omni | 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% | 36.7% | GPT-5.5 leads |
| FrontierCode 1.1 MainSource | 43.0% | — | Not comparable |
| SWE-bench VerifiedSource | — | 74.8% | Not comparable |
Reasoning5 benchmarks
Knowledge10 benchmarks
| Benchmark | GPT-5.5 | MiMo-V2-Omni | 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% | 35.0% | GPT-5.5 leads |
| AA-GPQA DiamondSource | 93.5% | 82.8% | GPT-5.5 leads |
| AA-HLESource | 44.3% | 19.9% | GPT-5.5 leads |
| AA-Omniscience IndexSource | 20.1% | -17.4% | GPT-5.5 leads |
| AA-Omniscience AccuracySource | 56.9% | 18.7% | GPT-5.5 leads |
| AA-Omniscience Hallucination RateSource | 85.5% | 44.4% | MiMo-V2-Omni leads |
Math3 benchmarks
Multimodal5 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.5 | MiMo-V2-Omni | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.9% | 53.5% | GPT-5.5 leads |
Frequently Asked Questions (2)
Which is better, GPT-5.5 or MiMo-V2-Omni?
GPT-5.5 is ahead on BenchLM's BenchAlign leaderboard, 73.51 to 63.15.
Which is better for coding, GPT-5.5 or MiMo-V2-Omni?
MiMo-V2-Omni has the edge for coding in this comparison, averaging 74.8 versus 58.6. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
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