Model comparison
DeepSeekMath V2 vs o1
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: DeepSeekMath V2 #125 (Estimated); o1 #137 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeekMath V2 and o1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeekMath V2; 16 to o1.
Updated July 24, 2026- Shared results
- 0
- DeepSeekMath V2 only
- 0
- o1 only
- 16
- Comparable categories
- 0 / 8
Benchmark data for DeepSeekMath V2 and o1 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 DeepSeekMath V2 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
o1 is priced at $15.00 input / $60.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DeepSeekMath V2. o1 has the larger context window at 200K, compared with 128K for DeepSeekMath V2.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeekMath V2 | o1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeekMath V2$0 input / $0 output | o1$15 input / $60 output | DeepSeekMath V2 has the lower combined listed price. |
| Generation speedtokens per second | DeepSeekMath V2Not available | o198 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeekMath V2Not available | o132.29 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeekMath V2128K | o1200K | o1 lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | DeepSeekMath V2 | o1 | Result |
|---|---|---|---|
| τ²-bench resultsSource | — | 62.6% | Not comparable |
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | DeepSeekMath V2 | o1 | Result |
|---|---|---|---|
| MMLUSource | — | 91.8% | Not comparable |
| GPQASource | — | 75.7% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 23.4% | Not comparable |
| AA-GPQA DiamondSource | — | 74.7% | Not comparable |
| AA-HLESource | — | 7.7% | Not comparable |
| AA-Omniscience IndexSource | — | -10.5% | Not comparable |
| AA-Omniscience AccuracySource | — | 34.7% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 69.3% | Not comparable |
Math1 benchmarks
| Benchmark | DeepSeekMath V2 | o1 | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | — | 9.310% | Not comparable |
Frequently Asked Questions (3)
Can I compare DeepSeekMath V2 and o1 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 DeepSeekMath V2 and o1 today?
DeepSeekMath V2: $0.00 input / $0.00 output per 1M tokens o1: $15.00 input / $60.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.