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Model comparison

GLM-4.7-Flash vs GPT-4o mini

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
37.14/100
0 category wins0 category wins

Public leaderboard positions: GLM-4.7-Flash #112 (Supported); GPT-4o mini #192 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-4.7-Flash and GPT-4o mini share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to GLM-4.7-Flash; 10 to GPT-4o mini.

Updated July 24, 2026
Shared results
0
GLM-4.7-Flash only
0
GPT-4o mini only
10
Comparable categories
0 / 8

Benchmark data for GLM-4.7-Flash and GPT-4o mini 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.

GPT-4o mini is priced at $0.15 input / $0.60 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-4.7-Flash. GLM-4.7-Flash has the larger context window at 200K, compared with 128K for GPT-4o mini.

Operational comparison

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

MetricGLM-4.7-FlashGPT-4o miniComparison
Input / output priceUSD per 1M tokensGLM-4.7-Flash$0 input / $0 outputGPT-4o mini$0.15 input / $0.6 outputGLM-4.7-Flash has the lower combined listed price.
Generation speedtokens per secondGLM-4.7-Flash95 tok/sGPT-4o mini33 tok/sGLM-4.7-Flash has the higher measured throughput.
First-answer latencyseconds to first tokenGLM-4.7-Flash0.91 sGPT-4o mini3.16 sGLM-4.7-Flash reaches the first token sooner.
Context windowmaximum listed tokensGLM-4.7-Flash200KGPT-4o mini128KGLM-4.7-Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGLM-4.7-FlashGPT-4o miniResult
AA Agentic IndexSource 1.0%Not comparable
GDPval-AASource 0.0%Not comparable
GDPval-AASource 241Not comparable
Coding
BenchmarkGLM-4.7-FlashGPT-4o miniResult
AA-SciCodeSource 22.9%Not comparable
AA Coding IndexSource 11.4%Not comparable
Knowledge
BenchmarkGLM-4.7-FlashGPT-4o miniResult
Artificial Analysis Intelligence IndexSource 6.9%Not comparable
AA-GPQA DiamondSource 42.6%Not comparable
AA-HLESource 4.0%Not comparable
Multimodal
BenchmarkGLM-4.7-FlashGPT-4o miniResult
AA-MMMU-ProSource 41.5%Not comparable
Inst. Following
BenchmarkGLM-4.7-FlashGPT-4o miniResult
AA-IFBenchSource 31.0%Not comparable
Frequently Asked Questions (3)

Can I compare GLM-4.7-Flash and GPT-4o mini 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-4o mini today?

GLM-4.7-Flash: $0.00 input / $0.00 output per 1M tokens GPT-4o mini: $0.15 input / $0.60 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 24, 2026