Model comparison
GPT-OSS 20B vs Kimi K2.6
Head-to-head evidence from 18 shared benchmark results across 6 categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verified leaderboard positions: GPT-OSS 20B unranked; Kimi K2.6 #13
Evidence parity. GPT-OSS 20B and Kimi K2.6 share 18 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to GPT-OSS 20B; 42 to Kimi K2.6.
Updated July 13, 2026- Shared results
- 18
- GPT-OSS 20B only
- 1
- Kimi K2.6 only
- 42
- Comparable categories
- 0 / 8
Benchmark data for GPT-OSS 20B and Kimi K2.6 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 K2.6 is priced at $0.95 input / $4.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GPT-OSS 20B. Kimi K2.6 has the larger context window at 256K, compared with 128K for GPT-OSS 20B.
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 20B | Δ | Kimi K2.6 |
|---|---|---|---|
| Agentic | GPT-OSS 20BNot measured | MarginNo overlap | Kimi K2.673.5 |
| Coding | GPT-OSS 20BNot measured | MarginNo overlap | Kimi K2.672.6 |
| Knowledge | GPT-OSS 20BNot measured | MarginNo overlap | Kimi K2.642.2 |
| Math | GPT-OSS 20BNot measured | MarginNo overlap | Kimi K2.667.1 |
| Multimodal | GPT-OSS 20BNot measured | MarginNo overlap | Kimi K2.679.8 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-OSS 20B | Kimi K2.6 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-OSS 20B$0 input / $0 output | Kimi K2.6$0.95 input / $4 output | GPT-OSS 20B has the lower combined listed price. |
| Generation speedtokens per second | GPT-OSS 20B313 tok/s | Kimi K2.6Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-OSS 20B0.65 s | Kimi K2.6Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-OSS 20B128K | Kimi K2.6256K | Kimi K2.6 lists the larger context window. |
Benchmark Deep Dive
Agentic22 benchmarks
| Benchmark | GPT-OSS 20B | Kimi K2.6 | Result |
|---|---|---|---|
| AA Agentic IndexSource | 3.1% | 30.3% | Kimi K2.6 leads |
| APEX-Agents-AASource | 0.7% | 28.5% | Kimi K2.6 leads |
| Tau2-TelecomSource | 60.2% | 95.9% | Kimi K2.6 leads |
| GDPval-AASource | 2.7% | 34.5% | Kimi K2.6 leads |
| GDPval-AASource | 554 | 1190 | Kimi K2.6 leads |
| Terminal-Bench 2.0Source | — | 66.7% | Not comparable |
| BrowseCompSource | — | 83.2% | Not comparable |
| OSWorld-VerifiedSource | — | 73.1% | Not comparable |
| ToolathlonSource | — | 50% | Not comparable |
| MCP AtlasSource | — | 55.9% | Not comparable |
| Claw-EvalSource | — | 62.3% | Not comparable |
| DeepSearchQASource | — | 92.5% | Not comparable |
| WideResearchSource | — | 80.8% | Not comparable |
| Gert LabsSource | — | 56.82% | Not comparable |
| ResearchClawBenchSource | — | 18.0% | Not comparable |
| OSWorld 2.0Source | — | 4.6% | Not comparable |
| AA BriefcaseSource | — | 809 | Not comparable |
| AA AutomationBenchSource | — | 19.6% | Not comparable |
| AA EnterpriseOps-GymSource | — | 38.5% | Not comparable |
| AA Harvey LABSource | — | 0.0% | Not comparable |
| AA ITBenchSource | — | 31.2% | Not comparable |
| AA Tau3 BankingSource | — | 20.6% | Not comparable |
Coding14 benchmarks
| Benchmark | GPT-OSS 20B | Kimi K2.6 | Result |
|---|---|---|---|
| React Native EvalsSource | 71% | — | Not comparable |
| AA Coding IndexSource | 20.7% | 61.8% | Kimi K2.6 leads |
| Terminal-Bench HardSource | 10.6% | 43.9% | Kimi K2.6 leads |
| AA-SciCodeSource | 34.4% | 53.5% | Kimi K2.6 leads |
| SWE-bench VerifiedSource | — | 80.2% | Not comparable |
| LiveCodeBenchSource | — | 89.6% | Not comparable |
| LiveCodeBench v6Source | — | 89.6% | Not comparable |
| SWE-bench ProSource | — | 58.6% | Not comparable |
| SWE MultilingualSource | — | 76.7% | Not comparable |
| SciCodeSource | — | 52.2% | Not comparable |
| Terminal-Bench 2.0Source | — | 66.7% | Not comparable |
| Vibe Code BenchSource | — | 37.89% | Not comparable |
| cursorBench31Source | — | 47.6% | Not comparable |
| AA Terminal-Bench 2.1Source | — | 65.9% | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | GPT-OSS 20B | Kimi K2.6 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.9% | 44.2% | Kimi K2.6 leads |
| AA-GPQA DiamondSource | 68.8% | 91.1% | Kimi K2.6 leads |
| AA-HLESource | 9.8% | 35.9% | Kimi K2.6 leads |
| AA-Omniscience IndexSource | -63.9% | 6.4% | Kimi K2.6 leads |
| AA-Omniscience AccuracySource | 15.5% | 32.8% | Kimi K2.6 leads |
| AA-Omniscience Hallucination RateSource | 94.1% | 39.3% | Kimi K2.6 leads |
| GPQASource | — | 90.5% | Not comparable |
| GPQA-DSource | — | 90.5% | Not comparable |
| HLESource | — | 34.7% | Not comparable |
| AA Openness IndexSource | — | 33.3% | Not comparable |
Math5 benchmarks
Multimodal7 benchmarks
| Benchmark | GPT-OSS 20B | Kimi K2.6 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 895 | 1318 | Kimi K2.6 leads |
| MMMU-ProSource | — | 79.4% | Not comparable |
| MMMU-Pro w/ PythonSource | — | 80.1% | Not comparable |
| CharXivSource | — | 80.4% | Not comparable |
| MathVisionSource | — | 87.4% | Not comparable |
| V*Source | — | 96.9% | Not comparable |
| AA-MMMU-ProSource | — | 79.4% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-OSS 20B | Kimi K2.6 | Result |
|---|---|---|---|
| AA-IFBenchSource | 65.1% | 76.0% | Kimi K2.6 leads |
Frequently Asked Questions (3)
Can I compare GPT-OSS 20B and Kimi K2.6 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 20B and Kimi K2.6 today?
GPT-OSS 20B: $0.00 input / $0.00 output per 1M tokens Kimi K2.6: $0.95 input / $4.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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