Model comparison
DeepSeek V3.2 vs GPT-OSS 20B
Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V3.2 #82 (Supported); GPT-OSS 20B #159 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V3.2 and GPT-OSS 20B share 13 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to DeepSeek V3.2; 5 to GPT-OSS 20B.
Updated July 20, 2026- Shared results
- 13
- DeepSeek V3.2 only
- 6
- GPT-OSS 20B only
- 5
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek V3.2 and GPT-OSS 20B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 13 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 V3.2 is priced at $0.28 input / $0.42 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens 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 | DeepSeek V3.2 | Δ | GPT-OSS 20B |
|---|---|---|---|
| Coding | DeepSeek V3.260.9 | MarginNo overlap | GPT-OSS 20BNot measured |
| Math | DeepSeek V3.217.1 | MarginNo overlap | GPT-OSS 20BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V3.2 | GPT-OSS 20B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3.2$0.28 input / $0.42 output | GPT-OSS 20B$0 input / $0 output | GPT-OSS 20B has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V3.235 tok/s | GPT-OSS 20B313 tok/s | GPT-OSS 20B has the higher measured throughput. |
| First-answer latencyseconds to first token | DeepSeek V3.23.75 s | GPT-OSS 20B0.65 s | GPT-OSS 20B reaches the first token sooner. |
| Context windowmaximum listed tokens | DeepSeek V3.2128K | GPT-OSS 20B128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | DeepSeek V3.2 | GPT-OSS 20B | Result |
|---|---|---|---|
| Claw-EvalSource | 40.2% | — | Not comparable |
| VITA-BenchSource | 18.5% | — | Not comparable |
| τ²-bench resultsSource | 78.9% | 60.2% | DeepSeek V3.2 leads |
| Gert LabsSource | 29.57% | — | Not comparable |
| AA Agentic IndexSource | — | 3.1% | Not comparable |
| APEX-Agents-AASource | — | 0.7% | Not comparable |
| GDPval-AASource | — | 3.0% | Not comparable |
| GDPval-AASource | — | 559 | Not comparable |
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | DeepSeek V3.2 | GPT-OSS 20B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 24.7% | 14.9% | DeepSeek V3.2 leads |
| AA-GPQA DiamondSource | 75.1% | 68.8% | DeepSeek V3.2 leads |
| AA-HLESource | 10.5% | 9.8% | DeepSeek V3.2 leads |
| AA-Omniscience IndexSource | -46.7% | -63.9% | DeepSeek V3.2 leads |
| AA-Omniscience AccuracySource | 24.2% | 15.5% | DeepSeek V3.2 leads |
| AA-Omniscience Hallucination RateSource | 93.5% | 94.1% | DeepSeek V3.2 leads |
Math2 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek V3.2 | GPT-OSS 20B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1206 | 885 | DeepSeek V3.2 leads |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V3.2 | GPT-OSS 20B | Result |
|---|---|---|---|
| AA-IFBenchSource | 49.0% | 65.1% | GPT-OSS 20B leads |
Frequently Asked Questions (3)
Can I compare DeepSeek V3.2 and GPT-OSS 20B 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 V3.2 and GPT-OSS 20B today?
DeepSeek V3.2: $0.28 input / $0.42 output per 1M tokens GPT-OSS 20B: $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.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.