Model comparison
Kimi K2 vs o1-pro
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Kimi K2 #189 (Supported); o1-pro #141 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Kimi K2 and o1-pro share 1 comparable benchmark result. 0 of 8 categories are comparable. 13 results are unique to Kimi K2; 1 to o1-pro.
Updated July 24, 2026- Shared results
- 1
- Kimi K2 only
- 13
- o1-pro only
- 1
- Comparable categories
- 0 / 8
Benchmark data for Kimi K2 and o1-pro is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
o1-pro is priced at $150.00 input / $600.00 output per 1M tokens, versus $0.60 input / $2.50 output per 1M tokens for Kimi K2. o1-pro has the larger context window at 200K, compared with 128K for Kimi K2.
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 | Kimi K2 | Δ | o1-pro |
|---|---|---|---|
| Knowledge | Kimi K2Not measured | MarginNo overlap | o1-pro79.0 |
| Math | Kimi K216.1 | MarginNo overlap | o1-proNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Kimi K2 | o1-pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Kimi K2$0.6 input / $2.5 output | o1-pro$150 input / $600 output | Kimi K2 has the lower combined listed price. |
| Generation speedtokens per second | Kimi K243 tok/s | o1-proNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Kimi K21.51 s | o1-proNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Kimi K2128K | o1-pro200K | o1-pro lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Kimi K2 | o1-pro | Result |
|---|---|---|---|
| τ²-bench resultsSource | 61.1% | — | Not comparable |
Coding1 benchmarks
| Benchmark | Kimi K2 | o1-pro | Result |
|---|---|---|---|
| AA-SciCodeSource | 34.5% | — | Not comparable |
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Kimi K2 | o1-pro | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 19.4% | 18.9% | Kimi K2 leads |
| AA-GPQA DiamondSource | 76.6% | — | Not comparable |
| AA-HLESource | 7.0% | — | Not comparable |
| AA-Omniscience IndexSource | -27.5% | — | Not comparable |
| AA-Omniscience AccuracySource | 26.8% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 74.2% | — | Not comparable |
| GPQASource | — | 79% | Not comparable |
Math2 benchmarks
Multimodal1 benchmarks
| Benchmark | Kimi K2 | o1-pro | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1080 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Kimi K2 | o1-pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 41.5% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Kimi K2 and o1-pro 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 Kimi K2 and o1-pro today?
Kimi K2: $0.60 input / $2.50 output per 1M tokens o1-pro: $150.00 input / $600.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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