Model comparison
Kimi K2.5 (Reasoning) vs o3-mini
Head-to-head evidence from 7 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Kimi K2.5 (Reasoning) #57 (Estimated); o3-mini #136 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Kimi K2.5 (Reasoning) and o3-mini share 7 comparable benchmark results. 2 of 8 categories are comparable. 20 results are unique to Kimi K2.5 (Reasoning); 3 to o3-mini.
Updated July 24, 2026- Shared results
- 7
- Kimi K2.5 (Reasoning) only
- 20
- o3-mini only
- 3
- Comparable categories
- 2 / 8
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. o3-mini only becomes the better choice if you need the larger 200K context window.
Confidence note. This is a partial-evidence comparison with 7 shared benchmark results across 3 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Kimi K2.5 (Reasoning) is clearly ahead on the BenchAlign aggregate, 59.35 to 47.41. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.5 (Reasoning)'s sharpest advantage is in coding, where it averages 76.8 against 49.3. The single biggest benchmark swing on the page is SWE-bench Verified, 76.8% to 49.3%.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 output per 1M tokens, versus $0.60 input / $3.00 output per 1M tokens for Kimi K2.5 (Reasoning). o3-mini gives you the larger context window at 200K, compared with 128K for Kimi K2.5 (Reasoning).
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 K2.5 (Reasoning) | Δ | o3-mini |
|---|---|---|---|
| Coding | Kimi K2.5 (Reasoning)76.8 | Margin← 27.5 | o3-mini49.3 |
| Knowledge | Kimi K2.5 (Reasoning)87.2 | Margin← 10.0 | o3-mini77.2 |
| Agentic | Kimi K2.5 (Reasoning)55.0 | MarginNo overlap | o3-miniNot measured |
| Multimodal | Kimi K2.5 (Reasoning)78.5 | MarginNo overlap | o3-miniNot measured |
| Inst. Following | Kimi K2.5 (Reasoning)Not measured | MarginNo overlap | o3-mini93.9 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Verified
CodingA 76.8%B 49.3%Winner: Kimi K2.5 (Reasoning)Δ 27.5SWE-bench Verified: Kimi K2.5 (Reasoning) scored 76.8%; o3-mini scored 49.3%. Kimi K2.5 (Reasoning) wins this benchmark. - Source ↗
GPQA
KnowledgeA 87.6%B 77.2%Winner: Kimi K2.5 (Reasoning)Δ 10.4GPQA: Kimi K2.5 (Reasoning) scored 87.6%; o3-mini scored 77.2%. Kimi K2.5 (Reasoning) wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Kimi K2.5 (Reasoning) | o3-mini | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Kimi K2.5 (Reasoning)$0.6 input / $3 output | o3-mini$1.1 input / $4.4 output | Kimi K2.5 (Reasoning) has the lower combined listed price. |
| Generation speedtokens per second | Kimi K2.5 (Reasoning)Not available | o3-mini160 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Kimi K2.5 (Reasoning)Not available | o3-mini7.12 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Kimi K2.5 (Reasoning)128K | o3-mini200K | o3-mini lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Kimi K2.5 (Reasoning) | o3-mini | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 50.8% | — | Not comparable |
| BrowseCompSource | 60.6% | — | Not comparable |
| APEX-Agents-AASource | 11.5% | — | Not comparable |
| τ²-bench resultsSource | 95.9% | 28.7% | Kimi K2.5 (Reasoning) leads |
| Gert LabsSource | 32.58% | — | Not comparable |
| AA Agentic IndexSource | 21.7% | — | Not comparable |
| GDPval-AASource | 25.4% | — | Not comparable |
| GDPval-AASource | 1009 | — | Not comparable |
CodingKimi K2.5 (Reasoning) wins4 benchmarks
Reasoning2 benchmarks
KnowledgeKimi K2.5 (Reasoning) wins9 benchmarks
| Benchmark | Kimi K2.5 (Reasoning) | o3-mini | Result |
|---|---|---|---|
| GPQASource | 87.6% | 77.2% | Kimi K2.5 (Reasoning) leads |
| MMLU-ProSource | 87.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 35.4% | 19.0% | Kimi K2.5 (Reasoning) leads |
| AA-GPQA DiamondSource | 87.9% | 74.8% | Kimi K2.5 (Reasoning) leads |
| AA-HLESource | 29.4% | 8.7% | Kimi K2.5 (Reasoning) leads |
| AA-Omniscience IndexSource | -8.1% | — | Not comparable |
| AA-Omniscience AccuracySource | 34.3% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 64.6% | — | Not comparable |
| MMLUSource | — | 86.9% | Not comparable |
Math2 benchmarks
Multimodal3 benchmarks
Frequently Asked Questions (3)
Which is better, Kimi K2.5 (Reasoning) or o3-mini?
Kimi K2.5 (Reasoning) is ahead on BenchLM's BenchAlign leaderboard, 59.35 to 47.41. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 76.8% and 49.3%.
Which is better for knowledge tasks, Kimi K2.5 (Reasoning) or o3-mini?
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 87.2 versus 77.2. Inside this category, AA-HLE is the benchmark that creates the most daylight between them.
Which is better for coding, Kimi K2.5 (Reasoning) or o3-mini?
Kimi K2.5 (Reasoning) has the edge for coding in this comparison, averaging 76.8 versus 49.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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