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Model comparison

GPT-OSS 120B vs Qwen3.7 Plus

Data verified

Head-to-head evidence from 17 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

50.08/100
Margin
17.1pts
winning →
67.22/100
0 category wins0 category wins

Public leaderboard positions: GPT-OSS 120B #116 (Supported); Qwen3.7 Plus #21 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-OSS 120B and Qwen3.7 Plus share 17 comparable benchmark results. 0 of 8 categories are comparable. 9 results are unique to GPT-OSS 120B; 52 to Qwen3.7 Plus.

Updated July 23, 2026
Shared results
17
GPT-OSS 120B only
9
Qwen3.7 Plus only
52
Comparable categories
0 / 8

Benchmark data for GPT-OSS 120B and Qwen3.7 Plus is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 17 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.

Qwen3.7 Plus has the larger context window at 1M, compared with 128K for GPT-OSS 120B.

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-OSS 120B and Qwen3.7 Plus
CategoryGPT-OSS 120BΔQwen3.7 Plus
AgenticGPT-OSS 120BNot measuredMarginNo overlapQwen3.7 Plus71.7
CodingGPT-OSS 120BNot measuredMarginNo overlapQwen3.7 Plus75.6
ReasoningGPT-OSS 120BNot measuredMarginNo overlapQwen3.7 Plus91.7
KnowledgeGPT-OSS 120BNot measuredMarginNo overlapQwen3.7 Plus60.1
MathGPT-OSS 120BNot measuredMarginNo overlapQwen3.7 Plus92.9
MultilingualGPT-OSS 120BNot measuredMarginNo overlapQwen3.7 Plus85.4
MultimodalGPT-OSS 120BNot measuredMarginNo overlapQwen3.7 Plus81.5
Inst. FollowingGPT-OSS 120BNot measuredMarginNo overlapQwen3.7 Plus84.5

Operational comparison

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

MetricGPT-OSS 120BQwen3.7 PlusComparison
Input / output priceUSD per 1M tokensGPT-OSS 120B$0 input / $0 outputQwen3.7 PlusNot availableA complete price comparison is not available.
Generation speedtokens per secondGPT-OSS 120B262 tok/sQwen3.7 PlusNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-OSS 120B0.79 sQwen3.7 PlusNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-OSS 120B128KQwen3.7 Plus1MQwen3.7 Plus lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-OSS 120BQwen3.7 PlusResult
AA Agentic IndexSource 13.2%20.8%Qwen3.7 Plus leads
APEX-Agents-AASource 3.1%22.4%Qwen3.7 Plus leads
τ²-bench resultsSource 65.8%93%Qwen3.7 Plus leads
GDPval-AASource 15.0%21.8%Qwen3.7 Plus leads
GDPval-AASource 799936Qwen3.7 Plus leads
Gert LabsSource 29.61%—Not comparable
AA EnterpriseOps-GymSource 25.5%—Not comparable
AA ITBenchSource 5.6%—Not comparable
Terminal-Bench 2.0Source —70.3%Not comparable
QwenClawBenchSource —61.8%Not comparable
QwenWebBenchSource —1536Not comparable
Claw-EvalSource —62.7%Not comparable
BFCL v4Source —72.9%Not comparable
MCP AtlasSource —73.2%Not comparable
VITA-BenchSource —45.6%Not comparable
DeepPlanningSource —62.3%Not comparable
OSWorld-VerifiedSource —73.3%Not comparable
AndroidWorldSource —81.0%Not comparable
OSWorld 2.0Source —2.8%Not comparable
Coding
BenchmarkGPT-OSS 120BQwen3.7 PlusResult
React Native EvalsSource 71.6%—Not comparable
AA Coding IndexSource 30.4%55.9%Qwen3.7 Plus leads
AA-SciCodeSource 38.9%45.5%Qwen3.7 Plus leads
AA LiveCodeBenchSource 87.8%—Not comparable
Terminal-Bench 2.0Source —70.3%Not comparable
SWE-bench VerifiedSource —77.7%Not comparable
SWE-bench ProSource —57.6%Not comparable
SWE MultilingualSource —75.8%Not comparable
NL2RepoSource —41.1%Not comparable
SciCodeSource —51.3%Not comparable
LiveCodeBenchSource —89.6%Not comparable
Reasoning
BenchmarkGPT-OSS 120BQwen3.7 PlusResult
AA-LCRSource 50.7%65.0%Qwen3.7 Plus leads
CritPtSource 1.1%9.1%Qwen3.7 Plus leads
MRCRv2Source —91.7%Not comparable
Knowledge
BenchmarkGPT-OSS 120BQwen3.7 PlusResult
Artificial Analysis Intelligence IndexSource 23.8%39.0%Qwen3.7 Plus leads
AA-GPQA DiamondSource 78.2%90.0%Qwen3.7 Plus leads
AA-HLESource 18.5%33.4%Qwen3.7 Plus leads
AA-Omniscience IndexSource -50.0%2.4%Qwen3.7 Plus leads
AA-Omniscience AccuracySource 21.5%22.2%Qwen3.7 Plus leads
AA-Omniscience Hallucination RateSource 91.2%25.5%Qwen3.7 Plus leads
AA Openness IndexSource 38.9%—Not comparable
AA MMLU-ProSource 80.8%—Not comparable
GPQASource —90.3%Not comparable
GPQA-DSource —90.3%Not comparable
HLESource —34.7%Not comparable
MMLU-ProSource —88.5%Not comparable
MMLU-ReduxSource —94.5%Not comparable
SuperGPQASource —71.4%Not comparable
MMMLUSource —89.0%Not comparable
Math
BenchmarkGPT-OSS 120BQwen3.7 PlusResult
AA AIME 2025Source 93.4%—Not comparable
HMMT Feb 2026Source —92.9%Not comparable
IMOAnswerBenchSource —86.0%Not comparable
ApexSource —22.7%Not comparable
Multilingual
BenchmarkGPT-OSS 120BQwen3.7 PlusResult
AA Global-MMLU-LiteSource 82.8%—Not comparable
MMLU-ProXSource —85.4%Not comparable
NOVA-63Source —58.8%Not comparable
INCLUDESource —83.0%Not comparable
MAXIFESource —88.8%Not comparable
PolyMathSource —84.0%Not comparable
Multimodal
BenchmarkGPT-OSS 120BQwen3.7 PlusResult
Design Arena WebsiteSource 9981288Qwen3.7 Plus leads
MMMU-ProSource —79%Not comparable
MathVisionSource —90.3%Not comparable
CharXivSource —85.9%Not comparable
ERQASource —69.8%Not comparable
MedXpertQA (MM)Source —71.0%Not comparable
ScreenSpot ProSource —79.0%Not comparable
SimpleVQASource —81.7%Not comparable
MMSearch-PlusSource —41.4%Not comparable
RealWorldQASource —86.9%Not comparable
OmniDocBench 1.5Source —91.4%Not comparable
OCRBench V2Source —70.7%Not comparable
ODINW13Source —51.1%Not comparable
Video-MME (with subtitle)Source —88.0%Not comparable
VideoMMMUSource —85.4%Not comparable
MLVU (M-Avg)Source —87.4%Not comparable
AA-MMMU-ProSource —80.5%Not comparable
Inst. Following
BenchmarkGPT-OSS 120BQwen3.7 PlusResult
AA-IFBenchSource 69.0%78.0%Qwen3.7 Plus leads
IFEvalSource —94.6%Not comparable
IFBenchSource —79.1%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-OSS 120B and Qwen3.7 Plus 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-OSS 120B and Qwen3.7 Plus today?

GPT-OSS 120B: $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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