Model comparison
DeepSeek R1 Distill Qwen 32B vs DeepSeek V3
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); DeepSeek V3 #147 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek R1 Distill Qwen 32B and DeepSeek V3 share 6 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek R1 Distill Qwen 32B; 16 to DeepSeek V3.
Updated July 23, 2026- Shared results
- 6
- DeepSeek R1 Distill Qwen 32B only
- 0
- DeepSeek V3 only
- 16
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek R1 Distill Qwen 32B and DeepSeek V3 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.
DeepSeek V3 is priced at $0.27 input / $1.10 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens 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 | DeepSeek V3 |
|---|---|---|---|
| Coding | DeepSeek R1 Distill Qwen 32BNot measured | MarginNo overlap | DeepSeek V338.9 |
| Knowledge | DeepSeek R1 Distill Qwen 32BNot measured | MarginNo overlap | DeepSeek V372.7 |
| Math | DeepSeek R1 Distill Qwen 32BNot measured | MarginNo overlap | DeepSeek V31.7 |
| Inst. Following | DeepSeek R1 Distill Qwen 32BNot measured | MarginNo overlap | DeepSeek V386.1 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek R1 Distill Qwen 32B | DeepSeek V3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek R1 Distill Qwen 32B$0 input / $0 output | DeepSeek V3$0.27 input / $1.1 output | DeepSeek R1 Distill Qwen 32B has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek R1 Distill Qwen 32B60 tok/s | DeepSeek V3Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek R1 Distill Qwen 32B0.84 s | DeepSeek V3Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek R1 Distill Qwen 32B128K | DeepSeek V3128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | DeepSeek R1 Distill Qwen 32B | DeepSeek V3 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 11.0% | 14.2% | DeepSeek V3 leads |
| AA-GPQA DiamondSource | 61.5% | 55.7% | DeepSeek R1 Distill Qwen 32B leads |
| AA-HLESource | 5.5% | 3.6% | DeepSeek R1 Distill Qwen 32B leads |
| GPQASource | — | 59.1% | Not comparable |
| MMLU-ProSource | — | 75.9% | Not comparable |
| AA-Omniscience IndexSource | — | -41.3% | Not comparable |
| AA-Omniscience AccuracySource | — | 25.4% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 89.4% | Not comparable |
Math1 benchmarks
| Benchmark | DeepSeek R1 Distill Qwen 32B | DeepSeek V3 | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | — | 1.724% | Not comparable |
Multimodal1 benchmarks
| Benchmark | DeepSeek R1 Distill Qwen 32B | DeepSeek V3 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1150 | Not comparable |
Frequently Asked Questions (3)
Can I compare DeepSeek R1 Distill Qwen 32B and DeepSeek V3 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 DeepSeek V3 today?
DeepSeek R1 Distill Qwen 32B: $0.00 input / $0.00 output per 1M tokens DeepSeek V3: $0.27 input / $1.10 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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.