Model comparison
GPT-OSS 120B vs Kimi K2.5 (Reasoning)
Head-to-head evidence from 18 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-OSS 120B #116 (Supported); Kimi K2.5 (Reasoning) #57 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-OSS 120B and Kimi K2.5 (Reasoning) share 18 comparable benchmark results. 0 of 8 categories are comparable. 9 results are unique to GPT-OSS 120B; 9 to Kimi K2.5 (Reasoning).
Updated July 20, 2026- Shared results
- 18
- GPT-OSS 120B only
- 9
- Kimi K2.5 (Reasoning) only
- 9
- Comparable categories
- 0 / 8
Benchmark data for GPT-OSS 120B and Kimi K2.5 (Reasoning) is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 18 shared benchmark results across 6 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Kimi K2.5 (Reasoning) is priced at $0.60 input / $3.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GPT-OSS 120B.
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-OSS 120B | Δ | Kimi K2.5 (Reasoning) |
|---|---|---|---|
| Agentic | GPT-OSS 120BNot measured | MarginNo overlap | Kimi K2.5 (Reasoning)55.0 |
| Coding | GPT-OSS 120BNot measured | MarginNo overlap | Kimi K2.5 (Reasoning)76.8 |
| Knowledge | GPT-OSS 120BNot measured | MarginNo overlap | Kimi K2.5 (Reasoning)87.2 |
| Multimodal | GPT-OSS 120BNot measured | MarginNo overlap | Kimi K2.5 (Reasoning)78.5 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-OSS 120B | Kimi K2.5 (Reasoning) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-OSS 120B$0 input / $0 output | Kimi K2.5 (Reasoning)$0.6 input / $3 output | GPT-OSS 120B has the lower combined listed price. |
| Generation speedtokens per second | GPT-OSS 120B262 tok/s | Kimi K2.5 (Reasoning)Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-OSS 120B0.79 s | Kimi K2.5 (Reasoning)Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-OSS 120B128K | Kimi K2.5 (Reasoning)128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic11 benchmarks
| Benchmark | GPT-OSS 120B | Kimi K2.5 (Reasoning) | Result |
|---|---|---|---|
| AA Agentic IndexSource | 13.2% | 21.7% | Kimi K2.5 (Reasoning) leads |
| APEX-Agents-AASource | 3.1% | 11.5% | Kimi K2.5 (Reasoning) leads |
| τ²-bench resultsSource | 65.8% | 95.9% | Kimi K2.5 (Reasoning) leads |
| GDPval-AASource | 15.0% | 25.4% | Kimi K2.5 (Reasoning) leads |
| GDPval-AASource | 799 | 1009 | Kimi K2.5 (Reasoning) leads |
| Gert LabsSource | 29.61% | 32.58% | Kimi K2.5 (Reasoning) leads |
| AA EnterpriseOps-GymSource | 25.5% | — | Not comparable |
| AA Harvey LABSource | 0.0% | — | Not comparable |
| AA ITBenchSource | 5.6% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 50.8% | Not comparable |
| BrowseCompSource | — | 60.6% | Not comparable |
Coding6 benchmarks
| Benchmark | GPT-OSS 120B | Kimi K2.5 (Reasoning) | Result |
|---|---|---|---|
| React Native EvalsSource | 71.6% | — | Not comparable |
| AA Coding IndexSource | 30.4% | 46.8% | Kimi K2.5 (Reasoning) leads |
| AA-SciCodeSource | 38.9% | 49.0% | Kimi K2.5 (Reasoning) leads |
| AA LiveCodeBenchSource | 87.8% | — | Not comparable |
| SWE-bench VerifiedSource | — | 76.8% | Not comparable |
| Vibe Code BenchSource | — | 17.54% | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | GPT-OSS 120B | Kimi K2.5 (Reasoning) | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 23.8% | 35.4% | Kimi K2.5 (Reasoning) leads |
| AA-GPQA DiamondSource | 78.2% | 87.9% | Kimi K2.5 (Reasoning) leads |
| AA-HLESource | 18.5% | 29.4% | Kimi K2.5 (Reasoning) leads |
| AA-Omniscience IndexSource | -50.0% | -8.1% | Kimi K2.5 (Reasoning) leads |
| AA-Omniscience AccuracySource | 21.5% | 34.3% | Kimi K2.5 (Reasoning) leads |
| AA-Omniscience Hallucination RateSource | 91.2% | 64.6% | Kimi K2.5 (Reasoning) leads |
| AA Openness IndexSource | 38.9% | — | Not comparable |
| AA MMLU-ProSource | 80.8% | — | Not comparable |
| GPQASource | — | 87.6% | Not comparable |
| MMLU-ProSource | — | 87.1% | Not comparable |
Math2 benchmarks
Multilingual1 benchmarks
| Benchmark | GPT-OSS 120B | Kimi K2.5 (Reasoning) | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 82.8% | — | Not comparable |
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-OSS 120B | Kimi K2.5 (Reasoning) | Result |
|---|---|---|---|
| AA-IFBenchSource | 69.0% | 70.2% | Kimi K2.5 (Reasoning) leads |
Frequently Asked Questions (3)
Can I compare GPT-OSS 120B and Kimi K2.5 (Reasoning) 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-OSS 120B and Kimi K2.5 (Reasoning) today?
GPT-OSS 120B: $0.00 input / $0.00 output per 1M tokens Kimi K2.5 (Reasoning): $0.60 input / $3.00 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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