Model comparison
DeepSeek-R1 vs DeepSeek V3.2 (Thinking)
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek-R1 #103 (Supported); DeepSeek V3.2 (Thinking) #65 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek-R1 and DeepSeek V3.2 (Thinking) share 0 comparable benchmark results. 0 of 8 categories are comparable. 11 results are unique to DeepSeek-R1; 2 to DeepSeek V3.2 (Thinking).
Updated July 21, 2026- Shared results
- 0
- DeepSeek-R1 only
- 11
- DeepSeek V3.2 (Thinking) only
- 2
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek-R1 and DeepSeek V3.2 (Thinking) is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek-R1 | DeepSeek V3.2 (Thinking) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek-R1$0.55 input / $2.19 output | DeepSeek V3.2 (Thinking)$0.55 input / $2.19 output | Listed prices are equal. |
| Generation speedtokens per second | DeepSeek-R1Not available | DeepSeek V3.2 (Thinking)Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek-R1Not available | DeepSeek V3.2 (Thinking)Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek-R1128K | DeepSeek V3.2 (Thinking)128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | DeepSeek-R1 | DeepSeek V3.2 (Thinking) | Result |
|---|---|---|---|
| τ²-bench resultsSource | 36.5% | — | Not comparable |
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | DeepSeek-R1 | DeepSeek V3.2 (Thinking) | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 20.1% | — | Not comparable |
| AA-GPQA DiamondSource | 81.3% | — | Not comparable |
| AA-HLESource | 14.9% | — | Not comparable |
| AA-Omniscience IndexSource | -27.1% | — | Not comparable |
| AA-Omniscience AccuracySource | 31.0% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 84.0% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | DeepSeek-R1 | DeepSeek V3.2 (Thinking) | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1204 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek-R1 | DeepSeek V3.2 (Thinking) | Result |
|---|---|---|---|
| AA-IFBenchSource | 39.6% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare DeepSeek-R1 and DeepSeek V3.2 (Thinking) 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 and DeepSeek V3.2 (Thinking) today?
DeepSeek-R1: $0.55 input / $2.19 output per 1M tokens DeepSeek V3.2 (Thinking): $0.55 input / $2.19 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.
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