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Model comparison

Qwen3 235B 2507 (Reasoning) vs Qwen3.5 397B

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.
Margin
1.0pts
← winning
57.01/100
0 category wins1 category wins

Public leaderboard positions: Qwen3 235B 2507 (Reasoning) #66 (Estimated); Qwen3.5 397B #71 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3 235B 2507 (Reasoning) and Qwen3.5 397B share 0 comparable benchmark results. 1 of 8 categories are comparable. 2 results are unique to Qwen3 235B 2507 (Reasoning); 55 to Qwen3.5 397B.

Updated July 22, 2026
Shared results
0
Qwen3 235B 2507 (Reasoning) only
2
Qwen3.5 397B only
55
Comparable categories
1 / 8

Pick Qwen3 235B 2507 (Reasoning) if you want the stronger benchmark profile. Qwen3.5 397B only becomes the better choice if mathematics 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 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Qwen3 235B 2507 (Reasoning) finishes one point ahead on BenchLM's BenchAlign leaderboard, 58.01 to 57.01. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.

Qwen3.5 397B is also the more expensive model on tokens at $0.60 input / $3.60 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3 235B 2507 (Reasoning). That is roughly Infinityx on output cost alone. Qwen3 235B 2507 (Reasoning) is the reasoning model in the pair, while Qwen3.5 397B 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.

Operational comparison

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

MetricQwen3 235B 2507 (Reasoning)Qwen3.5 397BComparison
Input / output priceUSD per 1M tokensQwen3 235B 2507 (Reasoning)$0 input / $0 outputQwen3.5 397B$0.6 input / $3.6 outputQwen3 235B 2507 (Reasoning) has the lower combined listed price.
Generation speedtokens per secondQwen3 235B 2507 (Reasoning)Not availableQwen3.5 397B96 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3 235B 2507 (Reasoning)Not availableQwen3.5 397B2.44 sA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3 235B 2507 (Reasoning)128KQwen3.5 397B128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkQwen3 235B 2507 (Reasoning)Qwen3.5 397BResult
Terminal-Bench 2.0Source 52.5%Not comparable
BrowseCompSource 62%Not comparable
Claw-EvalSource 56.8%Not comparable
QwenClawBenchSource 51.8%Not comparable
τ³-bench resultsSource 68.4%Not comparable
VITA-BenchSource 43.7%Not comparable
DeepPlanningSource 37.6%Not comparable
ToolathlonSource 36.3%Not comparable
MCP AtlasSource 46.1%Not comparable
MCP-TasksSource 74.2%Not comparable
WideResearchSource 74.0%Not comparable
τ²-bench resultsSource 95.6%Not comparable
Gert LabsSource 46.76%Not comparable
ResearchClawBenchSource 14.2%Not comparable
AA Agentic IndexSource 19.9%Not comparable
APEX-Agents-AASource 15.3%Not comparable
GDPval-AASource 23.1%Not comparable
GDPval-AASource 962Not comparable
Coding
BenchmarkQwen3 235B 2507 (Reasoning)Qwen3.5 397BResult
SWE-bench VerifiedSource 76.2%Not comparable
LiveCodeBench v6Source 83.6%Not comparable
SWE-bench ProSource 50.9%Not comparable
AA-SciCodeSource 42.0%Not comparable
AA Coding IndexSource 48.2%Not comparable
Reasoning
BenchmarkQwen3 235B 2507 (Reasoning)Qwen3.5 397BResult
LongBench v2Source 63.2%Not comparable
AI-NeedleSource 68.7%Not comparable
AA-LCRSource 65.7%Not comparable
CritPtSource 1.7%Not comparable
Knowledge
BenchmarkQwen3 235B 2507 (Reasoning)Qwen3.5 397BResult
GPQASource 88.4%Not comparable
SuperGPQASource 70.4%Not comparable
MMLU-ProSource 87.8%Not comparable
MMLU-ReduxSource 94.9%Not comparable
C-EvalSource 93%Not comparable
HLESource 28.7%Not comparable
Artificial Analysis Intelligence IndexSource 33.7%Not comparable
AA-GPQA DiamondSource 89.3%Not comparable
AA-HLESource 27.3%Not comparable
AA-Omniscience IndexSource -29.8%Not comparable
AA-Omniscience AccuracySource 31.4%Not comparable
AA-Omniscience Hallucination RateSource 89.1%Not comparable
MathQwen3.5 397B wins
BenchmarkQwen3 235B 2507 (Reasoning)Qwen3.5 397BResult
FrontierMath v2 (Tiers 1-3)Source 8.481%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
AIME26Source 93.3%Not comparable
HMMT Feb 2025Source 94.8%Not comparable
HMMT Nov 2025Source 92.7%Not comparable
HMMT Feb 2026Source 87.9%Not comparable
MMAnswerBenchSource 80.9%Not comparable
Multilingual
BenchmarkQwen3 235B 2507 (Reasoning)Qwen3.5 397BResult
MMLU-ProXSource 84.7%Not comparable
NOVA-63Source 59.1%Not comparable
Multimodal
BenchmarkQwen3 235B 2507 (Reasoning)Qwen3.5 397BResult
MMMU-ProSource 79%Not comparable
MathVisionSource 88.6%Not comparable
CharXivSource 80.8%Not comparable
VideoMMMUSource 84.7%Not comparable
ScreenSpot ProSource 65.6%Not comparable
V*Source 95.8%Not comparable
AA-MMMU-ProSource 77.3%Not comparable
Inst. Following
BenchmarkQwen3 235B 2507 (Reasoning)Qwen3.5 397BResult
IFEvalSource 92.6%Not comparable
AA-IFBenchSource 78.8%Not comparable
Frequently Asked Questions (2)

Which is better, Qwen3 235B 2507 (Reasoning) or Qwen3.5 397B?

Qwen3 235B 2507 (Reasoning) is ahead on BenchLM's BenchAlign leaderboard, 58.01 to 57.01.

Which is better for math, Qwen3 235B 2507 (Reasoning) or Qwen3.5 397B?

Qwen3.5 397B has the edge for math in this comparison, averaging 90.6 versus 6.4. Qwen3 235B 2507 (Reasoning) stays close enough that the answer can still flip depending on your workload.

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Last updated: July 22, 2026

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