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GLM-4.7-Flash

Z.AIEstablishedReleased Oct 1, 2025
Overall Score
Coming soon
Arena Elo
1368
Categories Ranked
0of 8
Price (1M tokens)
$0 in / $0 out
Speed
95tok/s
Context
200K
Open WeightReasoning
Confidence
base

BenchLM is tracking GLM-4.7-Flash, but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.

GLM-4.7-Flash is a open weight model with a 200K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.

This profile currently has 0 sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.

Ranking Distribution

Category rank across 8 benchmark categories — sorted by best rank

Category Performance

Scores across all benchmark categories (0-100 scale)

Category Breakdown

Agentic

61.3/ 100
Weight: 22%0 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

41.2/ 100
Weight: 20%0 benchmarks
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

70.4/ 100
Weight: 17%0 benchmarks
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

54.6/ 100
Weight: 12%0 benchmarks
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

70.4/ 100
Weight: 5%0 benchmarks
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

81.8/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

62.5/ 100
Weight: 12%0 benchmarks
MMMU-ProOfficeQA Pro

Inst. Following

84.0/ 100
Weight: 5%0 benchmarks
IFEvalIFBench

Chatbot Arena Performance

Text Overall1368CI: ±5.811,778 votes
Coding1424CI: ±11.32,694 votes
Math1364CI: ±21.4718 votes
Instruction Following1350CI: ±10.53,172 votes
Creative Writing1313CI: ±14.11,821 votes
Multi-turn1363CI: ±13.02,116 votes
Hard Prompts1388CI: ±7.56,536 votes
Hard Prompts (English)1404CI: ±10.63,078 votes
Longer Query1374CI: ±10.63,186 votes

Benchmark Details

Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.

Frequently Asked Questions

How does GLM-4.7-Flash perform overall in AI benchmarks?

BenchLM is tracking GLM-4.7-Flash, but sourced benchmark coverage is still coming soon. We currently list its creator, model type, and context window while we wait for public benchmark results.

Is GLM-4.7-Flash open source?

Yes, GLM-4.7-Flash is an open weight model created by Z.AI, meaning it can be downloaded and run locally or fine-tuned for specific use cases.

Does GLM-4.7-Flash have full benchmark coverage on BenchLM?

Not yet. GLM-4.7-Flash currently has 0 published benchmark scores out of the 152 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of GLM-4.7-Flash?

GLM-4.7-Flash has a context window of 200K, which determines how much text it can process in a single interaction.

Last updated: April 20, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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