Model comparison
DeepSeek V3.2 vs Moonshot v1
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 V3.2 #82 (Supported); Moonshot v1 #148 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V3.2 and Moonshot v1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 19 results are unique to DeepSeek V3.2; 0 to Moonshot v1.
Updated July 21, 2026- Shared results
- 0
- DeepSeek V3.2 only
- 19
- Moonshot v1 only
- 0
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek V3.2 and Moonshot v1 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 Moonshot v1 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V3.2 | Moonshot v1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3.2$0.28 input / $0.42 output | Moonshot v1Not available | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek V3.235 tok/s | Moonshot v1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V3.23.75 s | Moonshot v1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V3.2128K | Moonshot v1128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | DeepSeek V3.2 | Moonshot v1 | 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 V3.2 | Moonshot v1 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1204 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V3.2 | Moonshot v1 | Result |
|---|---|---|---|
| AA-IFBenchSource | 49.0% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare DeepSeek V3.2 and Moonshot v1 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 V3.2 and Moonshot v1 today?
DeepSeek V3.2: $0.28 input / $0.42 output per 1M tokens Moonshot v1: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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