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Model comparison

Qwen3.5 397B (Reasoning) vs SWE-1.7

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.
59.5/100
No comparison
Cognition
N/A
0 category wins0 category wins

Public leaderboard positions: Qwen3.5 397B (Reasoning) #56 (Estimated); SWE-1.7 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3.5 397B (Reasoning) and SWE-1.7 share 0 comparable benchmark results. 0 of 8 categories are comparable. 17 results are unique to Qwen3.5 397B (Reasoning); 4 to SWE-1.7.

Updated July 18, 2026
Shared results
0
Qwen3.5 397B (Reasoning) only
17
SWE-1.7 only
4
Comparable categories
0 / 8

Benchmark data for Qwen3.5 397B (Reasoning) and SWE-1.7 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

SWE-1.7 has the larger context window at 256K, compared with 128K for Qwen3.5 397B (Reasoning).

Operational comparison

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

MetricQwen3.5 397B (Reasoning)SWE-1.7Comparison
Input / output priceUSD per 1M tokensQwen3.5 397B (Reasoning)$0.6 input / $3.6 outputSWE-1.7Not availableA complete price comparison is not available.
Generation speedtokens per secondQwen3.5 397B (Reasoning)Not availableSWE-1.7Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3.5 397B (Reasoning)Not availableSWE-1.7Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3.5 397B (Reasoning)128KSWE-1.7256KSWE-1.7 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkQwen3.5 397B (Reasoning)SWE-1.7Result
AA Agentic IndexSource 19.9%Not comparable
APEX-Agents-AASource 15.3%Not comparable
τ²-bench resultsSource 95.6%Not comparable
GDPval-AASource 23.1%Not comparable
GDPval-AASource 962Not comparable
Terminal-Bench 2.0Source 81.5%Not comparable
Coding
BenchmarkQwen3.5 397B (Reasoning)SWE-1.7Result
AA Coding IndexSource 48.2%Not comparable
AA-SciCodeSource 42.0%Not comparable
FrontierCode 1.1 MainSource 42.3%Not comparable
Terminal-Bench 2.0Source 81.5%Not comparable
SWE MultilingualSource 77.8%Not comparable
Reasoning
BenchmarkQwen3.5 397B (Reasoning)SWE-1.7Result
AA-LCRSource 65.7%Not comparable
CritPtSource 1.7%Not comparable
Knowledge
BenchmarkQwen3.5 397B (Reasoning)SWE-1.7Result
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
Multimodal
BenchmarkQwen3.5 397B (Reasoning)SWE-1.7Result
AA-MMMU-ProSource 77.3%Not comparable
Inst. Following
BenchmarkQwen3.5 397B (Reasoning)SWE-1.7Result
AA-IFBenchSource 78.8%Not comparable
Frequently Asked Questions (3)

Can I compare Qwen3.5 397B (Reasoning) and SWE-1.7 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 Qwen3.5 397B (Reasoning) and SWE-1.7 today?

Qwen3.5 397B (Reasoning): $0.60 input / $3.60 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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Last updated: July 18, 2026

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