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Gemini 3.1 Pro vs GLM-4.7-Flash

Gemini 3.1 Pro leads the LLM Stats Score 43.2 to 23.5. GLM-4.7-Flash is 29.5x cheaper per token.

Google · Zhipu AI · Updated for 2026

Which is better?

Gemini 3.1 Pro leads the overall LLM Stats Score 43.2 to 23.5, ranking #45 overall.

In the 4 individual benchmarks reported for both models, Gemini 3.1 Pro wins 4; this is a narrower head-to-head signal than the composite indexes.

On price, GLM-4.7-Flash is roughly 29.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.1 Pro also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 3.1 Pro

  • overall performance matters — it scores 43.2 and ranks #45 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose GLM-4.7-Flash

  • cost matters — it's about 29.5x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 3.1 Pro
Google
GLM-4.7-Flash
Zhipu AI
Core performance indexes
LLM Stats Score
43.2
#45
23.5
#181
Reasoning
44.9
#33
23.5
#170
Coding
30.8
#49
4.2
#216
Agents
24.2
#56
4.4
#160
Cost, coverage & limits
Benchmark wins
4 of 4
0 of 4
Input price
$2.00 / M
$0.07 / M
Output price
$12.00 / M
$0.40 / M
Context window
1,000,000
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 3.1 Pro
GLM-4.7-Flash
Math
42.4#6
21.0#152
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for Gemini 3.1 Pro · 6 for GLM-4.7-Flash

4 shared

Gemini 3.1 Pro outperforms in 4 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, SWE-Bench Verified), while GLM-4.7-Flash is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Wed Sep 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GLM-4.7-Flash costs less

For input processing, Gemini 3.1 Pro ($2.00/1M tokens) is 28.6x more expensive than GLM-4.7-Flash ($0.07/1M tokens).

For output processing, Gemini 3.1 Pro ($12.00/1M tokens) is 30.0x more expensive than GLM-4.7-Flash ($0.40/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than GLM-4.7-Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Sep 23 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.00
Output tokens$12.00
Best providerDeepinfra
Zhipu AI
GLM-4.7-Flash
Input tokens$0.07
Output tokens$0.40
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.1 Pro accepts 1,000,000 input tokens compared to GLM-4.7-Flash's 128,000 tokens. Gemini 3.1 Pro can generate longer responses up to 1,000,000 tokens, while GLM-4.7-Flash is limited to 16,384 tokens.

Google
Gemini 3.1 Pro
Input1,000,000 tokens
Output1,000,000 tokens
Zhipu AI
GLM-4.7-Flash
Input128,000 tokens
Output16,384 tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 3.1 Pro supports multimodal inputs, whereas GLM-4.7-Flash does not.

Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.1 Pro

Text
Images
Audio
Video

GLM-4.7-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while GLM-4.7-Flash uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3.1 Pro

Proprietary

Closed source

GLM-4.7-Flash

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while GLM-4.7-Flash was released on 2026-01-19.

Gemini 3.1 Pro is 1 month newer than GLM-4.7-Flash.

Gemini 3.1 Pro

Feb 19, 2026

7 months ago

1mo newer
GLM-4.7-Flash

Jan 19, 2026

8 months ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while GLM-4.7-Flash's cutoff date is not specified.

We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without GLM-4.7-Flash's cutoff date.

Gemini 3.1 Pro

Jan 2025

GLM-4.7-Flash

—

Provider Availability

Gemini 3.1 Pro is available from DeepInfra, Google. GLM-4.7-Flash is available from ZAI.

Gemini 3.1 Pro

deepinfra logo
Deepinfra
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M
google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

GLM-4.7-Flash

z logo
Unknown Organization
Input Price:Input: $0.07/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.1 Pro and GLM-4.7-Flash side-by-side, then vote on the output you prefer.

Gemini 3.1 Pro
✓ Preferred
GLM-4.7-Flash
Open in Playground

FAQ

Common questions about Gemini 3.1 Pro vs GLM-4.7-Flash.

Which is better, Gemini 3.1 Pro or GLM-4.7-Flash?

Gemini 3.1 Pro leads the LLM Stats Score 43.2 to 23.5. Gemini 3.1 Pro is made by Google and GLM-4.7-Flash is made by Zhipu AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 3.1 Pro compare to GLM-4.7-Flash in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. GLM-4.7-Flash scores AIME 2025: 91.6%, Tau-bench: 79.5%, GPQA: 75.2%, SWE-Bench Verified: 59.2%, BrowseComp: 42.8%.

Is Gemini 3.1 Pro cheaper than GLM-4.7-Flash?

GLM-4.7-Flash is 28.6x cheaper for input tokens. Gemini 3.1 Pro costs $2.00/M input and $12.00/M output via deepinfra. GLM-4.7-Flash costs $0.07/M input and $0.40/M output via z.

What are the context window sizes for Gemini 3.1 Pro and GLM-4.7-Flash?

Gemini 3.1 Pro supports 1.0M tokens and GLM-4.7-Flash supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.1 Pro and GLM-4.7-Flash?

Key differences include LLM Stats Score (43.2 vs 23.5), context window (1.0M vs 128K), input pricing ($2.00 vs $0.07/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and GLM-4.7-Flash?

Gemini 3.1 Pro is developed by Google and GLM-4.7-Flash is developed by Zhipu AI.

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