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Model comparison

GPT-5.1-Codex vs Qwen3.5-27B

Data verified

Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

52.72/100
Margin
8.0pts
winning →
60.7/100
0 category wins0 category wins

Public leaderboard positions: GPT-5.1-Codex #99 (Estimated); Qwen3.5-27B #45 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.1-Codex and Qwen3.5-27B share 13 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to GPT-5.1-Codex; 15 to Qwen3.5-27B.

Updated July 23, 2026
Shared results
13
GPT-5.1-Codex only
3
Qwen3.5-27B only
15
Comparable categories
0 / 8

Benchmark data for GPT-5.1-Codex and Qwen3.5-27B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 6 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.

GPT-5.1-Codex has the larger context window at 400K, compared with 262K for Qwen3.5-27B.

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 GPT-5.1-Codex and Qwen3.5-27B
CategoryGPT-5.1-CodexΔQwen3.5-27B
AgenticGPT-5.1-CodexNot measuredMarginNo overlapQwen3.5-27B52.0
CodingGPT-5.1-CodexNot measuredMarginNo overlapQwen3.5-27B64.9
ReasoningGPT-5.1-CodexNot measuredMarginNo overlapQwen3.5-27B60.6
KnowledgeGPT-5.1-CodexNot measuredMarginNo overlapQwen3.5-27B82.7
MultilingualGPT-5.1-CodexNot measuredMarginNo overlapQwen3.5-27B82.2
Inst. FollowingGPT-5.1-CodexNot measuredMarginNo overlapQwen3.5-27B95.0

Operational comparison

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

MetricGPT-5.1-CodexQwen3.5-27BComparison
Input / output priceUSD per 1M tokensGPT-5.1-CodexNot availableQwen3.5-27B$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondGPT-5.1-CodexNot availableQwen3.5-27BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.1-CodexNot availableQwen3.5-27BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.1-Codex400KQwen3.5-27B262KGPT-5.1-Codex lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.1-CodexQwen3.5-27BResult
τ²-bench resultsSource 83%93.9%Qwen3.5-27B leads
Gert LabsSource 49.68%39.41%GPT-5.1-Codex leads
JobBenchSource 26.2%Not comparable
Terminal-Bench 2.0Source 41.6%Not comparable
BrowseCompSource 61%Not comparable
OSWorld-VerifiedSource 56.2%Not comparable
Coding
BenchmarkGPT-5.1-CodexQwen3.5-27BResult
Vibe Code BenchSource 13.12%Not comparable
AA-SciCodeSource 40.2%39.5%GPT-5.1-Codex leads
SWE-bench VerifiedSource 72.4%Not comparable
SWE-RebenchSource 58.9%Not comparable
Reasoning
BenchmarkGPT-5.1-CodexQwen3.5-27BResult
AA-LCRSource 67.3%67.3%Tie
CritPtSource 5.7%0.9%GPT-5.1-Codex leads
LongBench v2Source 60.6%Not comparable
Knowledge
BenchmarkGPT-5.1-CodexQwen3.5-27BResult
Artificial Analysis Intelligence IndexSource 34.7%33.8%GPT-5.1-Codex leads
AA-GPQA DiamondSource 86.0%85.8%GPT-5.1-Codex leads
AA-HLESource 23.4%22.2%GPT-5.1-Codex leads
AA-Omniscience IndexSource -6.0%-42.0%GPT-5.1-Codex leads
AA-Omniscience AccuracySource 39.2%21.0%GPT-5.1-Codex leads
AA-Omniscience Hallucination RateSource 74.4%79.7%GPT-5.1-Codex leads
MMLU-ProSource 86.1%Not comparable
SuperGPQASource 65.6%Not comparable
GPQASource 85.5%Not comparable
Multilingual
BenchmarkGPT-5.1-CodexQwen3.5-27BResult
MMLU-ProXSource 82.2%Not comparable
Multimodal
BenchmarkGPT-5.1-CodexQwen3.5-27BResult
AA-MMMU-ProSource 72.5%75.0%Qwen3.5-27B leads
Design Arena WebsiteSource 1191Not comparable
MMMUSource 82.3%Not comparable
MMVUSource 73.3%Not comparable
MathVisionSource 86.0%Not comparable
V*Source 93.7%Not comparable
Inst. Following
BenchmarkGPT-5.1-CodexQwen3.5-27BResult
AA-IFBenchSource 70.0%75.6%Qwen3.5-27B leads
IFEvalSource 95%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-5.1-Codex and Qwen3.5-27B 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 GPT-5.1-Codex and Qwen3.5-27B today?

Qwen3.5-27B: $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.

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Last updated: July 23, 2026

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