Model comparison
DeepSeek LLM 2.0 vs DeepSeek V3.2
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 LLM 2.0 #89 (Estimated); DeepSeek V3.2 #82 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek LLM 2.0 and DeepSeek V3.2 share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek LLM 2.0; 19 to DeepSeek V3.2.
Updated July 20, 2026- Shared results
- 0
- DeepSeek LLM 2.0 only
- 0
- DeepSeek V3.2 only
- 19
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek LLM 2.0 and DeepSeek V3.2 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 does not have sourced benchmark coverage for DeepSeek LLM 2.0 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
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 DeepSeek LLM 2.0.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek LLM 2.0 | DeepSeek V3.2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek LLM 2.0$0 input / $0 output | DeepSeek V3.2$0.28 input / $0.42 output | DeepSeek LLM 2.0 has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek LLM 2.0Not available | DeepSeek V3.235 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek LLM 2.0Not available | DeepSeek V3.23.75 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek LLM 2.0128K | DeepSeek V3.2128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | DeepSeek LLM 2.0 | DeepSeek V3.2 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 24.7% | Not comparable |
| AA-GPQA DiamondSource | — | 75.1% | Not comparable |
| AA-HLESource | — | 10.5% | Not comparable |
| AA-Omniscience IndexSource | — | -46.7% | Not comparable |
| AA-Omniscience AccuracySource | — | 24.2% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 93.5% | Not comparable |
Math2 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek LLM 2.0 | DeepSeek V3.2 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1206 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek LLM 2.0 | DeepSeek V3.2 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 49.0% | Not comparable |
Frequently Asked Questions (3)
Can I compare DeepSeek LLM 2.0 and DeepSeek V3.2 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 LLM 2.0 and DeepSeek V3.2 today?
DeepSeek LLM 2.0: $0.00 input / $0.00 output per 1M tokens DeepSeek V3.2: $0.28 input / $0.42 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.