Model comparison
Claude Sonnet 5 vs GPT-OSS 120B
Head-to-head evidence from 15 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Sonnet 5 #29 (Estimated); GPT-OSS 120B #116 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 5 and GPT-OSS 120B share 15 comparable benchmark results. 0 of 8 categories are comparable. 21 results are unique to Claude Sonnet 5; 11 to GPT-OSS 120B.
Updated July 23, 2026- Shared results
- 15
- Claude Sonnet 5 only
- 21
- GPT-OSS 120B only
- 11
- Comparable categories
- 0 / 8
Benchmark data for Claude Sonnet 5 and GPT-OSS 120B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 5 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.
Claude Sonnet 5 is priced at $2.00 input / $10.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GPT-OSS 120B. Claude Sonnet 5 has the larger context window at 1M, compared with 128K 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 | Claude Sonnet 5 | Δ | GPT-OSS 120B |
|---|---|---|---|
| Agentic | Claude Sonnet 581.9 | MarginNo overlap | GPT-OSS 120BNot measured |
| Coding | Claude Sonnet 576.7 | MarginNo overlap | GPT-OSS 120BNot measured |
| Knowledge | Claude Sonnet 557.4 | MarginNo overlap | GPT-OSS 120BNot measured |
| Multimodal | Claude Sonnet 588.3 | MarginNo overlap | GPT-OSS 120BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 5 | GPT-OSS 120B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 5$2 input / $10 output | GPT-OSS 120B$0 input / $0 output | GPT-OSS 120B has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 5Not available | GPT-OSS 120B262 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 5Not available | GPT-OSS 120B0.79 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 51M | GPT-OSS 120B128K | Claude Sonnet 5 lists the larger context window. |
Benchmark Deep Dive
Agentic17 benchmarks
| Benchmark | Claude Sonnet 5 | GPT-OSS 120B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 80.4% | — | Not comparable |
| BrowseCompSource | 84.7% | — | Not comparable |
| HLE w/ toolsSource | 57.4% | — | Not comparable |
| OSWorld-VerifiedSource | 81.2% | — | Not comparable |
| GDPval-AASource | 1607 | 799 | Claude Sonnet 5 leads |
| AA Agentic IndexSource | 46.7% | 13.2% | Claude Sonnet 5 leads |
| GDPval-AASource | 55.4% | 15.0% | Claude Sonnet 5 leads |
| AA BriefcaseSource | 1388 | — | Not comparable |
| AA AutomationBenchSource | 39.2% | — | Not comparable |
| AA EnterpriseOps-GymSource | 44.7% | 25.5% | Claude Sonnet 5 leads |
| AA Harvey LABSource | 90.1% | — | Not comparable |
| AA Tau3 BankingSource | 28.2% | — | Not comparable |
| aaTerminalBench21Source | 80.5% | — | Not comparable |
| APEX-Agents-AASource | — | 3.1% | Not comparable |
| τ²-bench resultsSource | — | 65.8% | Not comparable |
| Gert LabsSource | — | 29.61% | Not comparable |
| AA ITBenchSource | — | 5.6% | Not comparable |
Coding11 benchmarks
| Benchmark | Claude Sonnet 5 | GPT-OSS 120B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 85.2% | — | Not comparable |
| SWE-bench ProSource | 63.2% | — | Not comparable |
| SWE MultilingualSource | 78.3% | — | Not comparable |
| SWE MultimodalSource | 28.1% | — | Not comparable |
| Terminal-Bench 2.0Source | 80.4% | — | Not comparable |
| FrontierCode 1.1 MainSource | 42.7% | — | Not comparable |
| cursorBench32Source | 61.5% | — | Not comparable |
| AA Coding IndexSource | 71.5% | 30.4% | Claude Sonnet 5 leads |
| AA-SciCodeSource | 53.6% | 38.9% | Claude Sonnet 5 leads |
| React Native EvalsSource | — | 71.6% | Not comparable |
| AA LiveCodeBenchSource | — | 87.8% | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Sonnet 5 | GPT-OSS 120B | Result |
|---|---|---|---|
| HLESource | 57.4% | — | Not comparable |
| HLE w/o toolsSource | 43.2% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 53.4% | 23.8% | Claude Sonnet 5 leads |
| AA-GPQA DiamondSource | 91.1% | 78.2% | Claude Sonnet 5 leads |
| AA-HLESource | 39.6% | 18.5% | Claude Sonnet 5 leads |
| AA-Omniscience IndexSource | 15.3% | -50.0% | Claude Sonnet 5 leads |
| AA-Omniscience AccuracySource | 38.3% | 21.5% | Claude Sonnet 5 leads |
| AA-Omniscience Hallucination RateSource | 37.3% | 91.2% | Claude Sonnet 5 leads |
| AA Openness IndexSource | — | 38.9% | Not comparable |
| AA MMLU-ProSource | — | 80.8% | Not comparable |
Math1 benchmarks
| Benchmark | Claude Sonnet 5 | GPT-OSS 120B | Result |
|---|---|---|---|
| AA AIME 2025Source | — | 93.4% | Not comparable |
Multilingual1 benchmarks
| Benchmark | Claude Sonnet 5 | GPT-OSS 120B | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | — | 82.8% | Not comparable |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 5 | GPT-OSS 120B | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 69.0% | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude Sonnet 5 and GPT-OSS 120B 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 Claude Sonnet 5 and GPT-OSS 120B today?
Claude Sonnet 5: $2.00 input / $10.00 output per 1M tokens GPT-OSS 120B: $0.00 input / $0.00 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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