Skip to main content
BenchLM
Advertise

Model comparison

DeepSeek V3 vs Qwen3.7 Max

Data verified

Head-to-head evidence from 21 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

DeepSeek V3
DeepSeek
44.97/100
Margin
27.9pts
winning →
72.84/100
2 category wins2 category wins

Public leaderboard positions: DeepSeek V3 #147 (Supported); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V3 and Qwen3.7 Max share 21 comparable benchmark results. 4 of 8 categories are comparable. 1 result is unique to DeepSeek V3; 37 to Qwen3.7 Max.

Updated July 23, 2026
Shared results
21
DeepSeek V3 only
1
Qwen3.7 Max only
37
Comparable categories
4 / 8

Pick Qwen3.7 Max if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.

Confidence note. This is a partial-evidence comparison with 21 shared benchmark results across 6 evidence categories; 4 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Qwen3.7 Max is clearly ahead on the BenchAlign aggregate, 72.84 to 44.97. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Qwen3.7 Max's sharpest advantage is in mathematics, where it averages 97.1 against 1.7. The single biggest benchmark swing on the page is LiveCodeBench, 37.6% to 91.6%. DeepSeek V3 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

Qwen3.7 Max is the reasoning model in the pair, while DeepSeek V3 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Qwen3.7 Max gives you the larger context window at 1M, compared with 128K for DeepSeek V3.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for DeepSeek V3 and Qwen3.7 Max
CategoryDeepSeek V3ΔQwen3.7 Max
MathDeepSeek V31.7Margin→ 95.4Qwen3.7 Max97.1
CodingDeepSeek V338.9Margin→ 39.0Qwen3.7 Max77.9
KnowledgeDeepSeek V372.7Margin← 8.5Qwen3.7 Max64.2
Inst. FollowingDeepSeek V386.1Margin← 1.7Qwen3.7 Max84.4
AgenticDeepSeek V3Not measuredMarginNo overlapQwen3.7 Max69.7
ReasoningDeepSeek V3Not measuredMarginNo overlapQwen3.7 Max90.4
MultilingualDeepSeek V3Not measuredMarginNo overlapQwen3.7 Max87.0

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · DeepSeek V3B · Qwen3.7 Max

  1. LiveCodeBench

    Coding
    Source ↗
    A 37.6%B 91.6%
    Winner: Qwen3.7 MaxΔ 54
    LiveCodeBench: DeepSeek V3 scored 37.6%; Qwen3.7 Max scored 91.6%. Qwen3.7 Max wins this benchmark.

  2. SWE-bench Verified

    Coding
    Source ↗
    A 42%B 80.4%
    Winner: Qwen3.7 MaxΔ 38.4
    SWE-bench Verified: DeepSeek V3 scored 42%; Qwen3.7 Max scored 80.4%. Qwen3.7 Max wins this benchmark.

  3. GPQA

    Knowledge
    Source ↗
    A 59.1%B 92.4%
    Winner: Qwen3.7 MaxΔ 33.3
    GPQA: DeepSeek V3 scored 59.1%; Qwen3.7 Max scored 92.4%. Qwen3.7 Max wins this benchmark.

  4. MMLU-Pro

    Knowledge
    Source ↗
    A 75.9%B 89.6%
    Winner: Qwen3.7 MaxΔ 13.7
    MMLU-Pro: DeepSeek V3 scored 75.9%; Qwen3.7 Max scored 89.6%. Qwen3.7 Max wins this benchmark.

  5. IFEval

    Inst. Following
    Source ↗
    A 86.1%B 94.3%
    Winner: Qwen3.7 MaxΔ 8.2
    IFEval: DeepSeek V3 scored 86.1%; Qwen3.7 Max scored 94.3%. Qwen3.7 Max wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricDeepSeek V3Qwen3.7 MaxComparison
Input / output priceUSD per 1M tokensDeepSeek V3$0.27 input / $1.1 outputQwen3.7 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondDeepSeek V3Not availableQwen3.7 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V3Not availableQwen3.7 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V3128KQwen3.7 Max1MQwen3.7 Max lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V3Qwen3.7 MaxResult
AA Agentic IndexSource 1.6%30.6%Qwen3.7 Max leads
τ²-bench resultsSource 22.8%94.7%Qwen3.7 Max leads
GDPval-AASource 0.0%38.7%Qwen3.7 Max leads
GDPval-AASource 2171273Qwen3.7 Max leads
Terminal-Bench 2.0Source —69.7%Not comparable
QwenClawBenchSource —64.3%Not comparable
QwenWebBenchSource —1568Not comparable
Claw-EvalSource —65.2%Not comparable
BFCL v4Source —75.0%Not comparable
MCP AtlasSource —76.4%Not comparable
VITA-BenchSource —47.9%Not comparable
HLE w/ toolsSource —53.5%Not comparable
Gert LabsSource —64.27%Not comparable
ResearchClawBenchSource —18.7%Not comparable
AA BriefcaseSource —908Not comparable
AA AutomationBenchSource —25.6%Not comparable
AA EnterpriseOps-GymSource —45.0%Not comparable
AA ITBenchSource —42.5%Not comparable
terminalBenchHardSource —50.8%Not comparable
aaTerminalBench21Source —74.5%Not comparable
AA Harvey LABSource —83.4%Not comparable
CodingQwen3.7 Max wins
BenchmarkDeepSeek V3Qwen3.7 MaxResult
LiveCodeBenchSource 37.6%91.6%Qwen3.7 Max leads
SWE-bench VerifiedSource 42%80.4%Qwen3.7 Max leads
AA Coding IndexSource 23.0%66.0%Qwen3.7 Max leads
AA-SciCodeSource 35.4%48.8%Qwen3.7 Max leads
SWE-bench ProSource —60.6%Not comparable
SWE MultilingualSource —78.3%Not comparable
NL2RepoSource —47.2%Not comparable
SciCodeSource —53.5%Not comparable
Terminal-Bench 2.0Source —69.7%Not comparable
Reasoning
BenchmarkDeepSeek V3Qwen3.7 MaxResult
AA-LCRSource 29.0%69.0%Qwen3.7 Max leads
CritPtSource 0.0%13.4%Qwen3.7 Max leads
MRCRv2Source —90.4%Not comparable
KnowledgeDeepSeek V3 wins
BenchmarkDeepSeek V3Qwen3.7 MaxResult
GPQASource 59.1%92.4%Qwen3.7 Max leads
MMLU-ProSource 75.9%89.6%Qwen3.7 Max leads
Artificial Analysis Intelligence IndexSource 14.2%46.0%Qwen3.7 Max leads
AA-GPQA DiamondSource 55.7%92.3%Qwen3.7 Max leads
AA-HLESource 3.6%38.1%Qwen3.7 Max leads
AA-Omniscience IndexSource -41.3%14.1%Qwen3.7 Max leads
AA-Omniscience AccuracySource 25.4%30.1%Qwen3.7 Max leads
AA-Omniscience Hallucination RateSource 89.4%22.9%Qwen3.7 Max leads
GPQA-DSource —92.4%Not comparable
HLESource —41.4%Not comparable
MMLU-ReduxSource —95%Not comparable
SuperGPQASource —73.6%Not comparable
MMMLUSource —90.3%Not comparable
MathQwen3.7 Max wins
BenchmarkDeepSeek V3Qwen3.7 MaxResult
FrontierMath v2 (Tiers 1-3)Source 1.724%—Not comparable
HMMT Feb 2026Source —97.1%Not comparable
IMOAnswerBenchSource —90.0%Not comparable
ApexSource —44.5%Not comparable
Multilingual
BenchmarkDeepSeek V3Qwen3.7 MaxResult
MMLU-ProXSource —87%Not comparable
NOVA-63Source —59.0%Not comparable
INCLUDESource —86.2%Not comparable
MAXIFESource —89.2%Not comparable
PolyMathSource —86.5%Not comparable
Multimodal
BenchmarkDeepSeek V3Qwen3.7 MaxResult
Design Arena WebsiteSource 11501293Qwen3.7 Max leads
Inst. FollowingDeepSeek V3 wins
BenchmarkDeepSeek V3Qwen3.7 MaxResult
IFEvalSource 86.1%94.3%Qwen3.7 Max leads
AA-IFBenchSource 34.8%80.5%Qwen3.7 Max leads
IFBenchSource —79.1%Not comparable
Frequently Asked Questions (5)

Which is better, DeepSeek V3 or Qwen3.7 Max?

Qwen3.7 Max is ahead on BenchLM's BenchAlign leaderboard, 72.84 to 44.97. The biggest single separator in this matchup is LiveCodeBench, where the scores are 37.6% and 91.6%.

Which is better for knowledge tasks, DeepSeek V3 or Qwen3.7 Max?

DeepSeek V3 has the edge for knowledge tasks in this comparison, averaging 72.7 versus 64.2. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for coding, DeepSeek V3 or Qwen3.7 Max?

Qwen3.7 Max has the edge for coding in this comparison, averaging 77.9 versus 38.9. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.

Which is better for math, DeepSeek V3 or Qwen3.7 Max?

Qwen3.7 Max has the edge for math in this comparison, averaging 97.1 versus 1.7. DeepSeek V3 stays close enough that the answer can still flip depending on your workload.

Which is better for instruction following, DeepSeek V3 or Qwen3.7 Max?

DeepSeek V3 has the edge for instruction following in this comparison, averaging 86.1 versus 84.4. Inside this category, AA-IFBench is the benchmark that creates the most daylight between them.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

DeepSeek V3
API / mo$1,028
Self-host / mo$18,221
Break-even1.2B/day
Qwen3.7 Max
API / mo$0
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Model the full break-even

Related Comparisons

Explore More

DeepSeek Compare Pricing Methodology Find Your Best LLM Overall Rankings
Last updated: July 23, 2026

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.