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Model comparison

Qwen3 Max 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.
Alibaba
48.16/100
No comparison
Cognition
N/A
0 category wins0 category wins

Public leaderboard positions: Qwen3 Max #128 (Estimated); SWE-1.7 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3 Max and SWE-1.7 share 0 comparable benchmark results. 0 of 8 categories are comparable. 14 results are unique to Qwen3 Max; 4 to SWE-1.7.

Updated July 18, 2026
Shared results
0
Qwen3 Max only
14
SWE-1.7 only
4
Comparable categories
0 / 8

Benchmark data for Qwen3 Max 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.

Qwen3 Max has the larger context window at 1M, compared with 256K for SWE-1.7.

Operational comparison

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

MetricQwen3 MaxSWE-1.7Comparison
Input / output priceUSD per 1M tokensQwen3 MaxNot availableSWE-1.7Not availableA complete price comparison is not available.
Generation speedtokens per secondQwen3 MaxNot availableSWE-1.7Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3 MaxNot availableSWE-1.7Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3 Max1MSWE-1.7256KQwen3 Max lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkQwen3 MaxSWE-1.7Result
τ²-bench resultsSource 74.3%Not comparable
Gert LabsSource 43.74%Not comparable
Terminal-Bench 2.0Source 81.5%Not comparable
Coding
BenchmarkQwen3 MaxSWE-1.7Result
Vibe Code BenchSource 3.51%Not comparable
AA-SciCodeSource 38.3%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 MaxSWE-1.7Result
AA-LCRSource 46.7%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkQwen3 MaxSWE-1.7Result
Artificial Analysis Intelligence IndexSource 24.0%Not comparable
AA-GPQA DiamondSource 76.4%Not comparable
AA-HLESource 11.1%Not comparable
AA-Omniscience IndexSource -43.1%Not comparable
AA-Omniscience AccuracySource 24.4%Not comparable
AA-Omniscience Hallucination RateSource 89.4%Not comparable
Multimodal
BenchmarkQwen3 MaxSWE-1.7Result
Design Arena WebsiteSource 1151Not comparable
Inst. Following
BenchmarkQwen3 MaxSWE-1.7Result
AA-IFBenchSource 44.1%Not comparable
Frequently Asked Questions (2)

Can I compare Qwen3 Max 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.

Related Comparisons

Last updated: July 18, 2026

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