Model comparison
DeepSeek LLM 2.0 vs GPT-OSS 120B
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek LLM 2.0 #89 (Estimated); GPT-OSS 120B #116 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek LLM 2.0 and GPT-OSS 120B share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek LLM 2.0; 26 to GPT-OSS 120B.
Updated July 21, 2026- Shared results
- 0
- DeepSeek LLM 2.0 only
- 0
- GPT-OSS 120B only
- 26
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek LLM 2.0 and GPT-OSS 120B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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 does not have sourced benchmark coverage for DeepSeek LLM 2.0 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek LLM 2.0 | GPT-OSS 120B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek LLM 2.0$0 input / $0 output | GPT-OSS 120B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | DeepSeek LLM 2.0Not available | GPT-OSS 120B262 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek LLM 2.0Not available | GPT-OSS 120B0.79 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek LLM 2.0128K | GPT-OSS 120B128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | DeepSeek LLM 2.0 | GPT-OSS 120B | Result |
|---|---|---|---|
| AA Agentic IndexSource | — | 13.2% | Not comparable |
| APEX-Agents-AASource | — | 3.1% | Not comparable |
| τ²-bench resultsSource | — | 65.8% | Not comparable |
| GDPval-AASource | — | 15.0% | Not comparable |
| GDPval-AASource | — | 799 | Not comparable |
| Gert LabsSource | — | 29.61% | Not comparable |
| AA EnterpriseOps-GymSource | — | 25.5% | Not comparable |
| AA ITBenchSource | — | 5.6% | Not comparable |
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | DeepSeek LLM 2.0 | GPT-OSS 120B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 23.8% | Not comparable |
| AA-GPQA DiamondSource | — | 78.2% | Not comparable |
| AA-HLESource | — | 18.5% | Not comparable |
| AA-Omniscience IndexSource | — | -50.0% | Not comparable |
| AA-Omniscience AccuracySource | — | 21.5% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 91.2% | Not comparable |
| AA Openness IndexSource | — | 38.9% | Not comparable |
| AA MMLU-ProSource | — | 80.8% | Not comparable |
Math1 benchmarks
| Benchmark | DeepSeek LLM 2.0 | GPT-OSS 120B | Result |
|---|---|---|---|
| AA AIME 2025Source | — | 93.4% | Not comparable |
Multilingual1 benchmarks
| Benchmark | DeepSeek LLM 2.0 | GPT-OSS 120B | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | — | 82.8% | Not comparable |
Multimodal1 benchmarks
| Benchmark | DeepSeek LLM 2.0 | GPT-OSS 120B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 998 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek LLM 2.0 | GPT-OSS 120B | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 69.0% | Not comparable |
Frequently Asked Questions (3)
Can I compare DeepSeek LLM 2.0 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 DeepSeek LLM 2.0 and GPT-OSS 120B today?
DeepSeek LLM 2.0: $0.00 input / $0.00 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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