Model comparison
DeepSeek R1 Distill Qwen 32B vs GPT-4.1 nano
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-4.1 nano #161 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek R1 Distill Qwen 32B and GPT-4.1 nano share 6 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek R1 Distill Qwen 32B; 15 to GPT-4.1 nano.
Updated July 23, 2026- Shared results
- 6
- DeepSeek R1 Distill Qwen 32B only
- 0
- GPT-4.1 nano only
- 15
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek R1 Distill Qwen 32B and GPT-4.1 nano 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.
GPT-4.1 nano is priced at $0.10 input / $0.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DeepSeek R1 Distill Qwen 32B. GPT-4.1 nano has the larger context window at 1M, compared with 128K for DeepSeek R1 Distill Qwen 32B.
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 R1 Distill Qwen 32B | Δ | GPT-4.1 nano |
|---|---|---|---|
| Knowledge | DeepSeek R1 Distill Qwen 32BNot measured | MarginNo overlap | GPT-4.1 nano50.3 |
| Math | DeepSeek R1 Distill Qwen 32BNot measured | MarginNo overlap | GPT-4.1 nano1.0 |
| Inst. Following | DeepSeek R1 Distill Qwen 32BNot measured | MarginNo overlap | GPT-4.1 nano83.2 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek R1 Distill Qwen 32B | GPT-4.1 nano | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek R1 Distill Qwen 32B$0 input / $0 output | GPT-4.1 nano$0.1 input / $0.4 output | DeepSeek R1 Distill Qwen 32B has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek R1 Distill Qwen 32B60 tok/s | GPT-4.1 nano181 tok/s | GPT-4.1 nano has the higher measured throughput. |
| First-answer latencyseconds to first token | DeepSeek R1 Distill Qwen 32B0.84 s | GPT-4.1 nano0.63 s | GPT-4.1 nano reaches the first token sooner. |
| Context windowmaximum listed tokens | DeepSeek R1 Distill Qwen 32B128K | GPT-4.1 nano1M | GPT-4.1 nano lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | DeepSeek R1 Distill Qwen 32B | GPT-4.1 nano | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 11.0% | 9.6% | DeepSeek R1 Distill Qwen 32B leads |
| AA-GPQA DiamondSource | 61.5% | 51.2% | DeepSeek R1 Distill Qwen 32B leads |
| AA-HLESource | 5.5% | 3.9% | DeepSeek R1 Distill Qwen 32B leads |
| MMLUSource | — | 80.1% | Not comparable |
| GPQASource | — | 50.3% | Not comparable |
| AA-Omniscience IndexSource | — | -56.4% | Not comparable |
| AA-Omniscience AccuracySource | — | 13.3% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 80.4% | Not comparable |
Math1 benchmarks
| Benchmark | DeepSeek R1 Distill Qwen 32B | GPT-4.1 nano | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | — | 1.034% | Not comparable |
Multimodal2 benchmarks
Frequently Asked Questions (3)
Can I compare DeepSeek R1 Distill Qwen 32B and GPT-4.1 nano 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-4.1 nano today?
DeepSeek R1 Distill Qwen 32B: $0.00 input / $0.00 output per 1M tokens GPT-4.1 nano: $0.10 input / $0.40 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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