Model comparison
DeepSeek R1 Distill Qwen 32B vs GPT-OSS 20B
Head-to-head evidence from 6 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek R1 Distill Qwen 32B #160 (Estimated); GPT-OSS 20B #159 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek R1 Distill Qwen 32B and GPT-OSS 20B share 6 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek R1 Distill Qwen 32B; 12 to GPT-OSS 20B.
Updated July 23, 2026- Shared results
- 6
- DeepSeek R1 Distill Qwen 32B only
- 0
- GPT-OSS 20B only
- 12
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek R1 Distill Qwen 32B and GPT-OSS 20B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 6 shared benchmark results across 4 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.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek R1 Distill Qwen 32B | GPT-OSS 20B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek R1 Distill Qwen 32B$0 input / $0 output | GPT-OSS 20B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | DeepSeek R1 Distill Qwen 32B60 tok/s | GPT-OSS 20B313 tok/s | GPT-OSS 20B has the higher measured throughput. |
| First-answer latencyseconds to first token | DeepSeek R1 Distill Qwen 32B0.84 s | GPT-OSS 20B0.65 s | GPT-OSS 20B reaches the first token sooner. |
| Context windowmaximum listed tokens | DeepSeek R1 Distill Qwen 32B128K | GPT-OSS 20B128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | DeepSeek R1 Distill Qwen 32B | GPT-OSS 20B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 11.0% | 14.9% | GPT-OSS 20B leads |
| AA-GPQA DiamondSource | 61.5% | 68.8% | GPT-OSS 20B leads |
| AA-HLESource | 5.5% | 9.8% | GPT-OSS 20B leads |
| AA-Omniscience IndexSource | — | -63.9% | Not comparable |
| AA-Omniscience AccuracySource | — | 15.5% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 94.1% | Not comparable |
Multimodal1 benchmarks
| Benchmark | DeepSeek R1 Distill Qwen 32B | GPT-OSS 20B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 882 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek R1 Distill Qwen 32B | GPT-OSS 20B | Result |
|---|---|---|---|
| AA-IFBenchSource | 22.9% | 65.1% | GPT-OSS 20B leads |
Frequently Asked Questions (3)
Can I compare DeepSeek R1 Distill Qwen 32B 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 R1 Distill Qwen 32B and GPT-OSS 20B today?
DeepSeek R1 Distill Qwen 32B: $0.00 input / $0.00 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.
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