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Gemini 3.7 Flash vs GLM-4.6

Comparing Gemini 3.7 Flash and GLM-4.6 across benchmarks, pricing, and capabilities.

Google · Zhipu AI · Updated for 2026

Which is better?

Gemini 3.7 Flash and GLM-4.6 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, GLM-4.6 is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.7 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemini 3.7 Flash

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose GLM-4.6

  • cost matters — it's about 1.6x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 3.7 Flash
Google
GLM-4.6
Zhipu AI
Benchmark wins
—
—
Input price
$0.75 / M
$0.55 / M
Output price
$3.75 / M
$2.00 / M
Context window
1,048,576
131,072
Released
Aug 2026
Sep 2025
License
Proprietary
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.7 Flash and GLM-4.6don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

GLM-4.6 costs less

For input processing, Gemini 3.7 Flash ($0.75/1M tokens) is 1.4x more expensive than GLM-4.6 ($0.55/1M tokens).

For output processing, Gemini 3.7 Flash ($3.75/1M tokens) is 1.9x more expensive than GLM-4.6 ($2.00/1M tokens).

In conclusion, Gemini 3.7 Flash is more expensive than GLM-4.6.*

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

Lowest available price from all providers
Mon Aug 24 2026 • llm-stats.com
Google
Gemini 3.7 Flash
Input tokens$0.75
Output tokens$3.75
Best providerGoogle
Zhipu AI
GLM-4.6
Input tokens$0.55
Output tokens$2.00
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.7 Flash accepts 1,048,576 input tokens compared to GLM-4.6's 131,072 tokens. GLM-4.6 can generate longer responses up to 131,072 tokens, while Gemini 3.7 Flash is limited to 65,536 tokens.

Google
Gemini 3.7 Flash
Input1,048,576 tokens
Output65,536 tokens
Zhipu AI
GLM-4.6
Input131,072 tokens
Output131,072 tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.7 Flash and GLM-4.6 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 3.7 Flash

Text
Images
Audio
Video

GLM-4.6

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.7 Flash is licensed under a proprietary license, while GLM-4.6 uses MIT.

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

Gemini 3.7 Flash

Proprietary

Closed source

GLM-4.6

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.7 Flash was released on 2026-08-13, while GLM-4.6 was released on 2025-09-30.

Gemini 3.7 Flash is 11 months newer than GLM-4.6.

Gemini 3.7 Flash

Aug 13, 2026

1 weeks ago

10mo newer
GLM-4.6

Sep 30, 2025

10 months ago

Knowledge Cutoff

When training data ends

Gemini 3.7 Flash has a documented knowledge cutoff of 2026-03-31, while GLM-4.6's cutoff date is not specified.

We can confirm Gemini 3.7 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without GLM-4.6's cutoff date.

Gemini 3.7 Flash

Mar 2026

GLM-4.6

—

Provider Availability

Gemini 3.7 Flash is available from Google. GLM-4.6 is available from Fireworks, DeepInfra.

Gemini 3.7 Flash

google logo
Google
Input Price:Input: $0.75/1MOutput Price:Output: $3.75/1M

GLM-4.6

fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.60/1MOutput Price:Output: $2.00/1M
* 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 3.7 Flash and GLM-4.6 side-by-side, then vote on the output you prefer.

Gemini 3.7 Flash
✓ Preferred
GLM-4.6
Open in Playground

FAQ

Common questions about Gemini 3.7 Flash vs GLM-4.6.

Which is better, Gemini 3.7 Flash or GLM-4.6?

Gemini 3.7 Flash (Google) and GLM-4.6 (Zhipu AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.7 Flash compare to GLM-4.6 in benchmarks?

Gemini 3.7 Flash scores MRCR v2 (8-needle): 97.0%, Harvey LAB-AA: 90.7%, CharXiv-R: 88.7%, Terminal-Bench 2.1: 85.8%, LVBench: 85.4%. GLM-4.6 scores AIME 2025: 93.9%, LiveCodeBench v6: 82.8%, GPQA: 81.0%, SWE-Bench Verified: 68.0%, BrowseComp: 45.1%.

Is Gemini 3.7 Flash cheaper than GLM-4.6?

GLM-4.6 is 1.4x cheaper for input tokens. Gemini 3.7 Flash costs $0.75/M input and $3.75/M output via google. GLM-4.6 costs $0.55/M input and $2.00/M output via fireworks.

What are the context window sizes for Gemini 3.7 Flash and GLM-4.6?

Gemini 3.7 Flash supports 1.0M tokens and GLM-4.6 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.7 Flash and GLM-4.6?

Key differences include context window (1.0M vs 131K), input pricing ($0.75 vs $0.55/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.7 Flash and GLM-4.6?

Gemini 3.7 Flash is developed by Google and GLM-4.6 is developed by Zhipu AI.

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