Model Comparison

MiniMax M2.7 vs GLM-5V-TurboWhich is better in 2026?

Comparing MiniMax M2.7 and GLM-5V-Turbo across benchmarks, pricing, and capabilities.

Verdict: MiniMax M2.7 vs GLM-5V-Turbo — which is better?

MiniMax M2.7 (by MiniMax) and GLM-5V-Turbo (by Zhipu AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, MiniMax M2.7 is roughly 3.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5V-Turbo also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose MiniMax M2.7 if…

  • cost matters — it's about 3.6x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose GLM-5V-Turbo if…

  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Apr 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

MiniMax M2.7 and GLM-5V-Turbodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M2.7 costs less

For input processing, MiniMax M2.7 ($0.30/1M tokens) is 4.0x cheaper than GLM-5V-Turbo ($1.20/1M tokens).

For output processing, MiniMax M2.7 ($1.20/1M tokens) is 3.3x cheaper than GLM-5V-Turbo ($4.00/1M tokens).

In conclusion, GLM-5V-Turbo is more expensive than MiniMax M2.7.*

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

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
MiniMax
MiniMax M2.7
Input tokens$0.30
Output tokens$1.20
Best providerFireworks
Zhipu AI
GLM-5V-Turbo
Input tokens$1.20
Output tokens$4.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GLM-5V-Turbo accepts 200,000 input tokens compared to MiniMax M2.7's 196,608 tokens. MiniMax M2.7 can generate longer responses up to 196,608 tokens, while GLM-5V-Turbo is limited to 128,000 tokens.

MiniMax
MiniMax M2.7
Input196,608 tokens
Output196,608 tokens
Zhipu AI
GLM-5V-Turbo
Input200,000 tokens
Output128,000 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-5V-Turbo supports multimodal inputs, whereas MiniMax M2.7 does not.

GLM-5V-Turbo can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiniMax M2.7

Text
Images
Audio
Video

GLM-5V-Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

MiniMax M2.7 is licensed under MIT, while GLM-5V-Turbo uses a proprietary license.

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

MiniMax M2.7

MIT

Open weights

GLM-5V-Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

MiniMax M2.7 was released on 2026-03-18, while GLM-5V-Turbo was released on 2026-04-02.

GLM-5V-Turbo is 1 month newer than MiniMax M2.7.

MiniMax M2.7

Mar 18, 2026

4 months ago

GLM-5V-Turbo

Apr 2, 2026

3 months ago

2w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

MiniMax M2.7 is available from Fireworks, MiniMax, Novita. GLM-5V-Turbo is available from ZAI.

MiniMax M2.7

fireworks logo
Fireworks
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

GLM-5V-Turbo

z logo
Unknown Organization
Input Price:Input: $1.20/1MOutput Price:Output: $4.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

MiniMax
Less expensive input tokens
Less expensive output tokens
Has open weights
Zhipu AI
Larger context window (200,000 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against MiniMax M2.7 and GLM-5V-Turbo side-by-side, then vote on the output you prefer.

MiniMax M2.7
✓ Preferred
GLM-5V-Turbo
Open in Playground
AI Model Comparison Table
Feature
MiniMax
MiniMax M2.7
Zhipu AI
GLM-5V-Turbo

FAQ

Common questions about MiniMax M2.7 vs GLM-5V-Turbo.

Which is better, MiniMax M2.7 or GLM-5V-Turbo?

MiniMax M2.7 (MiniMax) and GLM-5V-Turbo (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 MiniMax M2.7 compare to GLM-5V-Turbo in benchmarks?

MiniMax M2.7 scores SWE-bench Multilingual: 76.5%, MLE-Bench Lite: 66.6%, MM-ClawBench: 62.7%, Terminal-Bench 2.0: 57.0%, SWE-Bench Pro: 56.2%. GLM-5V-Turbo scores Design2Code: 94.8%, Flame-VLM-Code: 93.8%, V*: 89.0%, WebVoyager: 88.5%, PinchBench: 80.7%.

Is MiniMax M2.7 cheaper than GLM-5V-Turbo?

MiniMax M2.7 is 4.0x cheaper for input tokens. MiniMax M2.7 costs $0.30/M input and $1.20/M output via fireworks. GLM-5V-Turbo costs $1.20/M input and $4.00/M output via z.

What are the context window sizes for MiniMax M2.7 and GLM-5V-Turbo?

MiniMax M2.7 supports 197K tokens and GLM-5V-Turbo supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiniMax M2.7 and GLM-5V-Turbo?

Key differences include context window (197K vs 200K), input pricing ($0.30 vs $1.20/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M2.7 and GLM-5V-Turbo?

MiniMax M2.7 is developed by MiniMax and GLM-5V-Turbo is developed by Zhipu AI.

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