Model comparison
DeepSeek V4 Pro vs Qwen2.5-1M
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 V4 Pro #46 (Supported); Qwen2.5-1M #120 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Pro and Qwen2.5-1M share 0 comparable benchmark results. 0 of 8 categories are comparable. 23 results are unique to DeepSeek V4 Pro; 0 to Qwen2.5-1M.
Updated July 23, 2026- Shared results
- 0
- DeepSeek V4 Pro only
- 23
- Qwen2.5-1M only
- 0
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek V4 Pro and Qwen2.5-1M 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 Qwen2.5-1M yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
DeepSeek V4 Pro is priced at $0.43 input / $0.87 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen2.5-1M.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Pro | Qwen2.5-1M | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro$0.435 input / $0.87 output | Qwen2.5-1M$0 input / $0 output | Qwen2.5-1M has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V4 ProNot available | Qwen2.5-1MNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 ProNot available | Qwen2.5-1MNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro1M | Qwen2.5-1M1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic6 benchmarks
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
Math4 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek V4 Pro | Qwen2.5-1M | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1264 | — | Not comparable |
Frequently Asked Questions (3)
Can I compare DeepSeek V4 Pro and Qwen2.5-1M 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 V4 Pro and Qwen2.5-1M today?
DeepSeek V4 Pro: $0.43 input / $0.87 output per 1M tokens Qwen2.5-1M: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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