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Model comparison

GLM-4.7-Flash vs GPT-OSS 120B

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.
N/A
No comparison
50.08/100
0 category wins0 category wins

Public leaderboard positions: GLM-4.7-Flash #106 (Supported); GPT-OSS 120B #116 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-4.7-Flash and GPT-OSS 120B share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to GLM-4.7-Flash; 26 to GPT-OSS 120B.

Updated July 21, 2026
Shared results
0
GLM-4.7-Flash only
0
GPT-OSS 120B only
26
Comparable categories
0 / 8

Benchmark data for GLM-4.7-Flash and GPT-OSS 120B 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 does not have sourced benchmark coverage for GLM-4.7-Flash yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

GLM-4.7-Flash has the larger context window at 200K, compared with 128K for GPT-OSS 120B.

Operational comparison

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

MetricGLM-4.7-FlashGPT-OSS 120BComparison
Input / output priceUSD per 1M tokensGLM-4.7-Flash$0 input / $0 outputGPT-OSS 120B$0 input / $0 outputListed prices are equal.
Generation speedtokens per secondGLM-4.7-Flash95 tok/sGPT-OSS 120B262 tok/sGPT-OSS 120B has the higher measured throughput.
First-answer latencyseconds to first tokenGLM-4.7-Flash0.91 sGPT-OSS 120B0.79 sGPT-OSS 120B reaches the first token sooner.
Context windowmaximum listed tokensGLM-4.7-Flash200KGPT-OSS 120B128KGLM-4.7-Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGLM-4.7-FlashGPT-OSS 120BResult
AA Agentic IndexSource —13.2%Not comparable
APEX-Agents-AASource —3.1%Not comparable
τ²-bench resultsSource —65.8%Not comparable
GDPval-AASource —15.0%Not comparable
GDPval-AASource —799Not comparable
Gert LabsSource —29.61%Not comparable
AA EnterpriseOps-GymSource —25.5%Not comparable
AA ITBenchSource —5.6%Not comparable
Coding
BenchmarkGLM-4.7-FlashGPT-OSS 120BResult
React Native EvalsSource —71.6%Not comparable
AA Coding IndexSource —30.4%Not comparable
AA-SciCodeSource —38.9%Not comparable
AA LiveCodeBenchSource —87.8%Not comparable
Reasoning
BenchmarkGLM-4.7-FlashGPT-OSS 120BResult
AA-LCRSource —50.7%Not comparable
CritPtSource —1.1%Not comparable
Knowledge
BenchmarkGLM-4.7-FlashGPT-OSS 120BResult
Artificial Analysis Intelligence IndexSource —23.8%Not comparable
AA-GPQA DiamondSource —78.2%Not comparable
AA-HLESource —18.5%Not comparable
AA-Omniscience IndexSource —-50.0%Not comparable
AA-Omniscience AccuracySource —21.5%Not comparable
AA-Omniscience Hallucination RateSource —91.2%Not comparable
AA Openness IndexSource —38.9%Not comparable
AA MMLU-ProSource —80.8%Not comparable
Math
BenchmarkGLM-4.7-FlashGPT-OSS 120BResult
AA AIME 2025Source —93.4%Not comparable
Multilingual
BenchmarkGLM-4.7-FlashGPT-OSS 120BResult
AA Global-MMLU-LiteSource —82.8%Not comparable
Multimodal
BenchmarkGLM-4.7-FlashGPT-OSS 120BResult
Design Arena WebsiteSource —998Not comparable
Inst. Following
BenchmarkGLM-4.7-FlashGPT-OSS 120BResult
AA-IFBenchSource —69.0%Not comparable
Frequently Asked Questions (3)

Can I compare GLM-4.7-Flash and GPT-OSS 120B 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 GLM-4.7-Flash and GPT-OSS 120B today?

GLM-4.7-Flash: $0.00 input / $0.00 output per 1M tokens 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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