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Model profile

GLM-4.7-Flash

Z.AIEstablishedReleased Oct 1, 2025
Data verified
Overall Score
Coming soon
Arena Elo
1368
Eligible category ranks
0of 8
Price (1M tokens)
$0 in / $0 out
API pricing
Speed
95tok/s
Context
200K

Evidence coverage

0 of 321 tracked benchmarks are published. 0 are verified and 0 provisional. 0 of 8 categories are measured.

Updated July 20, 2026Methodology
Published / tracked
0 / 321
Verified
0
Provisional
0
Categories with evidence
0 / 8

Evidence by category

  • Agentic0 benchmarks
    Not measured
  • Coding0 benchmarks
    Not measured
  • Reasoning0 benchmarks
    Not measured
  • Knowledge0 benchmarks
    Not measured
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal0 benchmarks
    Not measured
  • Inst. Following0 benchmarks
    Not measured
Open WeightSelf-hostReasoning
Confidence:
Low
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 does not yet have sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.

Peer position

Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.

Range 50.8751.47

  1. Qwen3.6-35B-A3B
    Alibaba
    #10451.47
    Qwen3.6-35B-A3B is #104 with a score of 51.47.
    Compare
  2. Mercury 2
    Inception
    #10551.28
    Mercury 2 is #105 with a score of 51.28.
    Compare
  3. GLM-4.7-FlashCurrent model
    Z.AI
    #10651.25
    GLM-4.7-Flash is #106 with a score of 51.25.
  4. Grok 4.1 Fast
    xAI
    #10751.25
    Grok 4.1 Fast is #107 with a score of 51.25.
    Compare
  5. GPT-4.1
    OpenAI
    #10851.11
    GPT-4.1 is #108 with a score of 51.11.
    Compare
  6. Nemotron 3 Super 120B A12B
    NVIDIA
    #10950.97
    Nemotron 3 Super 120B A12B is #109 with a score of 50.97.
    Compare
  7. Step 3.7 Flash
    StepFun
    #11050.87
    Step 3.7 Flash is #110 with a score of 50.87.
    Compare

Benchmark data coming soon

BenchLM has created this model profile, but no sourced benchmark rows are published here yet. Category charts, rankings, and score tables will appear after public evaluations are available and attached to source records.

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%0 benchmarksNot measuredNot measured
CodingWeight 20%0 benchmarksNot measuredNot measured
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeWeight 12%0 benchmarksNot measuredNot measured
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Chatbot Arena performance

Scroll horizontally to inspect confidence intervals and vote counts.

Chatbot Arena Elo, confidence interval, and vote count by evaluation view
ViewEloConfidence intervalVotes
Text Overall1368±5.811,713
Coding1423±11.22,683
Math1366±21.4710
Instruction Following1351±10.43,167
Creative Writing1312±14.01,809
Multi-turn1363±12.92,112
Hard Prompts1387±7.56,508
Hard Prompts (English)1404±10.53,068
Longer Query1373±10.53,164

Frequently Asked Questions

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

We are tracking GLM-4.7-Flash, but sourced benchmark coverage is still coming soon. The profile lists only the model metadata that has a verified public source.

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 321 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 published context window of 200K, which determines how much text it can process in a single interaction.

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

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