Model comparison
GPT-5.5 vs Kimi 3
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verified leaderboard positions: GPT-5.5 #3; Kimi 3 unranked
Evidence parity. GPT-5.5 and Kimi 3 share 0 comparable benchmark results. 0 of 8 categories are comparable. 57 results are unique to GPT-5.5; 0 to Kimi 3.
Updated July 14, 2026- Shared results
- 0
- GPT-5.5 only
- 57
- Kimi 3 only
- 0
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.5 and Kimi 3 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM does not have sourced benchmark coverage for Kimi 3 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
GPT-5.5 has the larger context window at 1M, compared with null for Kimi 3.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.5 | Kimi 3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.5$5 input / $30 output | Kimi 3Not available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.5Not available | Kimi 3Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.5Not available | Kimi 3Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.51M | Kimi 3Not available | A complete context comparison is not available. |
Benchmark Deep Dive
Agentic22 benchmarks
| Benchmark | GPT-5.5 | Kimi 3 | 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 |
| Tau2-TelecomSource | 93.9% | — | Not comparable |
| AA Agentic IndexSource | 44.9% | — | Not comparable |
| APEX-Agents-AASource | 37.7% | — | Not comparable |
| GDPval-AASource | 49.7% | — | Not comparable |
| GDPval-AASource | 1494 | — | 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 | 1158 | — | Not comparable |
| AA AutomationBenchSource | 42.1% | — | Not comparable |
| AA EnterpriseOps-GymSource | 46.6% | — | Not comparable |
| AA Harvey LABSource | 4.2% | — | Not comparable |
| AA ITBenchSource | 45.8% | — | Not comparable |
| AA Tau3 BankingSource | 31.3% | — | Not comparable |
Coding11 benchmarks
| Benchmark | GPT-5.5 | Kimi 3 | 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 |
| Terminal-Bench HardSource | 60.6% | — | Not comparable |
| AA-SciCodeSource | 56.1% | — | Not comparable |
| FrontierCodeSource | 43.0% | — | Not comparable |
| AA Terminal-Bench 2.1Source | 84.3% | — | Not comparable |
Reasoning5 benchmarks
Knowledge10 benchmarks
| Benchmark | GPT-5.5 | Kimi 3 | 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% | — | Not comparable |
| AA-GPQA DiamondSource | 93.5% | — | Not comparable |
| AA-HLESource | 44.3% | — | Not comparable |
| AA-Omniscience IndexSource | 20.1% | — | Not comparable |
| AA-Omniscience AccuracySource | 56.9% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 85.5% | — | Not comparable |
Math3 benchmarks
Multimodal5 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.5 | Kimi 3 | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.9% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-5.5 and Kimi 3 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GPT-5.5 and Kimi 3 today?
GPT-5.5: $5.00 input / $30.00 output per 1M tokens Kimi 3: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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