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Model comparison

DeepSeek V4 Flash vs Qwen2.5-1M

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
58.88/100
No comparison
Alibaba
N/A
0 category wins0 category wins

Public leaderboard positions: DeepSeek V4 Flash #61 (Estimated); Qwen2.5-1M #120 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Flash and Qwen2.5-1M share 0 comparable benchmark results. 0 of 8 categories are comparable. 22 results are unique to DeepSeek V4 Flash; 0 to Qwen2.5-1M.

Updated July 23, 2026
Shared results
0
DeepSeek V4 Flash only
22
Qwen2.5-1M only
0
Comparable categories
0 / 8

Benchmark data for DeepSeek V4 Flash 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 Flash is priced at $0.14 input / $0.28 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.

MetricDeepSeek V4 FlashQwen2.5-1MComparison
Input / output priceUSD per 1M tokensDeepSeek V4 Flash$0.14 input / $0.28 outputQwen2.5-1M$0 input / $0 outputQwen2.5-1M has the lower combined listed price.
Generation speedtokens per secondDeepSeek V4 FlashNot availableQwen2.5-1MNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 FlashNot availableQwen2.5-1MNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Flash1MQwen2.5-1M1MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V4 FlashQwen2.5-1MResult
Terminal-Bench 2.0Source 49.1%Not comparable
MCP AtlasSource 64%Not comparable
ToolathlonSource 40.7%Not comparable
Claw-EvalSource 57.8%Not comparable
Gert LabsSource 54.35%Not comparable
Coding
BenchmarkDeepSeek V4 FlashQwen2.5-1MResult
SWE-bench VerifiedSource 73.7%Not comparable
SWE-bench ProSource 49.1%Not comparable
SWE MultilingualSource 69.7%Not comparable
Terminal-Bench 2.0Source 49.1%Not comparable
Reasoning
BenchmarkDeepSeek V4 FlashQwen2.5-1MResult
MRCR 1MSource 37.5%Not comparable
CorpusQA 1MSource 15.5%Not comparable
Knowledge
BenchmarkDeepSeek V4 FlashQwen2.5-1MResult
MMLU-ProSource 83%Not comparable
SimpleQASource 23.1%Not comparable
Chinese-SimpleQASource 71.5%Not comparable
GPQASource 71.2%Not comparable
GPQA-DSource 71.2%Not comparable
HLESource 8.1%Not comparable
Math
BenchmarkDeepSeek V4 FlashQwen2.5-1MResult
HMMT Feb 2026Source 40.8%Not comparable
IMOAnswerBenchSource 41.9%Not comparable
ApexSource 1.0%Not comparable
Apex ShortlistSource 9.3%Not comparable
Multimodal
BenchmarkDeepSeek V4 FlashQwen2.5-1MResult
Design Arena WebsiteSource 1238Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek V4 Flash 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 Flash and Qwen2.5-1M today?

DeepSeek V4 Flash: $0.14 input / $0.28 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.

Related Comparisons

Last updated: July 23, 2026

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