Model comparison
DeepSeek V4 Flash (High) vs GPT-OSS 120B
Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Flash (High) #92 (Estimated); GPT-OSS 120B #116 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Flash (High) and GPT-OSS 120B share 16 comparable benchmark results. 0 of 8 categories are comparable. 22 results are unique to DeepSeek V4 Flash (High); 10 to GPT-OSS 120B.
Updated July 23, 2026- Shared results
- 16
- DeepSeek V4 Flash (High) only
- 22
- GPT-OSS 120B only
- 10
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek V4 Flash (High) and GPT-OSS 120B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 16 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.
DeepSeek V4 Flash (High) is priced at $0.14 input / $0.28 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GPT-OSS 120B. DeepSeek V4 Flash (High) 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 | DeepSeek V4 Flash (High) | Δ | GPT-OSS 120B |
|---|---|---|---|
| Agentic | DeepSeek V4 Flash (High)55.3 | MarginNo overlap | GPT-OSS 120BNot measured |
| Coding | DeepSeek V4 Flash (High)68.5 | MarginNo overlap | GPT-OSS 120BNot measured |
| Knowledge | DeepSeek V4 Flash (High)52.1 | MarginNo overlap | GPT-OSS 120BNot measured |
| Math | DeepSeek V4 Flash (High)91.9 | MarginNo overlap | GPT-OSS 120BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Flash (High) | GPT-OSS 120B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Flash (High)$0.14 input / $0.28 output | GPT-OSS 120B$0 input / $0 output | GPT-OSS 120B has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V4 Flash (High)Not available | GPT-OSS 120B262 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 Flash (High)Not available | GPT-OSS 120B0.79 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Flash (High)1M | GPT-OSS 120B128K | DeepSeek V4 Flash (High) lists the larger context window. |
Benchmark Deep Dive
Agentic13 benchmarks
| Benchmark | DeepSeek V4 Flash (High) | GPT-OSS 120B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 56.6% | — | Not comparable |
| BrowseCompSource | 53.5% | — | Not comparable |
| HLE w/ toolsSource | 40.3% | — | Not comparable |
| MCP AtlasSource | 67.4% | — | Not comparable |
| ToolathlonSource | 43.5% | — | Not comparable |
| τ²-bench resultsSource | 95.6% | 65.8% | DeepSeek V4 Flash (High) leads |
| AA Agentic IndexSource | 28.2% | 13.2% | DeepSeek V4 Flash (High) leads |
| GDPval-AASource | 32.4% | 15.0% | DeepSeek V4 Flash (High) leads |
| GDPval-AASource | 1147 | 799 | DeepSeek V4 Flash (High) leads |
| APEX-Agents-AASource | — | 3.1% | Not comparable |
| Gert LabsSource | — | 29.61% | Not comparable |
| AA EnterpriseOps-GymSource | — | 25.5% | Not comparable |
| AA ITBenchSource | — | 5.6% | Not comparable |
Coding9 benchmarks
| Benchmark | DeepSeek V4 Flash (High) | GPT-OSS 120B | Result |
|---|---|---|---|
| CodeforcesSource | 2816.0 | — | Not comparable |
| SWE-bench VerifiedSource | 78.6% | — | Not comparable |
| SWE-bench ProSource | 52.3% | — | Not comparable |
| SWE MultilingualSource | 70.2% | — | Not comparable |
| Terminal-Bench 2.0Source | 56.6% | — | Not comparable |
| AA-SciCodeSource | 42.0% | 38.9% | DeepSeek V4 Flash (High) leads |
| AA Coding IndexSource | 52.0% | 30.4% | DeepSeek V4 Flash (High) leads |
| React Native EvalsSource | — | 71.6% | Not comparable |
| AA LiveCodeBenchSource | — | 87.8% | Not comparable |
Reasoning4 benchmarks
Knowledge14 benchmarks
| Benchmark | DeepSeek V4 Flash (High) | GPT-OSS 120B | Result |
|---|---|---|---|
| MMLU-ProSource | 86.4% | — | Not comparable |
| SimpleQASource | 28.9% | — | Not comparable |
| Chinese-SimpleQASource | 73.2% | — | Not comparable |
| GPQASource | 87.4% | — | Not comparable |
| GPQA-DSource | 87.4% | — | Not comparable |
| HLESource | 29.4% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 37.5% | 23.8% | DeepSeek V4 Flash (High) leads |
| AA-GPQA DiamondSource | 86.7% | 78.2% | DeepSeek V4 Flash (High) leads |
| AA-HLESource | 27.8% | 18.5% | DeepSeek V4 Flash (High) leads |
| AA-Omniscience IndexSource | -22.3% | -50.0% | DeepSeek V4 Flash (High) leads |
| AA-Omniscience AccuracySource | 35.5% | 21.5% | DeepSeek V4 Flash (High) leads |
| AA-Omniscience Hallucination RateSource | 89.7% | 91.2% | DeepSeek V4 Flash (High) leads |
| AA Openness IndexSource | — | 38.9% | Not comparable |
| AA MMLU-ProSource | — | 80.8% | Not comparable |
Math5 benchmarks
Multilingual1 benchmarks
| Benchmark | DeepSeek V4 Flash (High) | GPT-OSS 120B | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | — | 82.8% | Not comparable |
Multimodal1 benchmarks
| Benchmark | DeepSeek V4 Flash (High) | GPT-OSS 120B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1238 | 998 | DeepSeek V4 Flash (High) leads |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V4 Flash (High) | GPT-OSS 120B | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.5% | 69.0% | DeepSeek V4 Flash (High) leads |
Frequently Asked Questions (3)
Can I compare DeepSeek V4 Flash (High) 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 V4 Flash (High) and GPT-OSS 120B today?
DeepSeek V4 Flash (High): $0.14 input / $0.28 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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