Model Comparison

MAI-Code-1-Flash vs GLM-5V-TurboWhich is better in 2026?

Comparing MAI-Code-1-Flash and GLM-5V-Turbo across benchmarks, pricing, and capabilities.

Verdict: MAI-Code-1-Flash vs GLM-5V-Turbo — which is better?

MAI-Code-1-Flash (by Microsoft) 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.

Choose MAI-Code-1-Flash if…

  • you want the most recent training data — it shipped Jun 2026

Choose GLM-5V-Turbo if…

  • you want predictable pricing at $1.20/M input and $4.00/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

MAI-Code-1-Flash 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

Context Window

Maximum input and output token capacity

Only GLM-5V-Turbo specifies input context (200,000 tokens). Only GLM-5V-Turbo specifies output context (128,000 tokens).

Microsoft
MAI-Code-1-Flash
Input- tokens
Output- 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 MAI-Code-1-Flash does not.

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

MAI-Code-1-Flash

Text
Images
Audio
Video

GLM-5V-Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

MAI-Code-1-Flash

Proprietary

Closed source

GLM-5V-Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

MAI-Code-1-Flash was released on 2026-06-02, while GLM-5V-Turbo was released on 2026-04-02.

MAI-Code-1-Flash is 2 months newer than GLM-5V-Turbo.

MAI-Code-1-Flash

Jun 2, 2026

1 months ago

2mo newer
GLM-5V-Turbo

Apr 2, 2026

3 months ago

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Microsoft

No standout differentiators in the data we have for this pair.

Zhipu AI
Larger context window (200,000 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against MAI-Code-1-Flash and GLM-5V-Turbo side-by-side, then vote on the output you prefer.

MAI-Code-1-Flash
✓ Preferred
GLM-5V-Turbo
Open in Playground
AI Model Comparison Table
Feature
Microsoft
MAI-Code-1-Flash
Zhipu AI
GLM-5V-Turbo

FAQ

Common questions about MAI-Code-1-Flash vs GLM-5V-Turbo.

Which is better, MAI-Code-1-Flash or GLM-5V-Turbo?

MAI-Code-1-Flash (Microsoft) 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 MAI-Code-1-Flash compare to GLM-5V-Turbo in benchmarks?

MAI-Code-1-Flash scores AIME 2026: 92.5%, GPQA: 84.6%, IFBench: 75.0%, Tau2 Telecom: 71.7%, SWE-Bench Verified: 71.6%. GLM-5V-Turbo scores Design2Code: 94.8%, Flame-VLM-Code: 93.8%, V*: 89.0%, WebVoyager: 88.5%, PinchBench: 80.7%.

What are the context window sizes for MAI-Code-1-Flash and GLM-5V-Turbo?

MAI-Code-1-Flash supports an unknown number of 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 MAI-Code-1-Flash and GLM-5V-Turbo?

Key differences include multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes MAI-Code-1-Flash and GLM-5V-Turbo?

MAI-Code-1-Flash is developed by Microsoft and GLM-5V-Turbo is developed by Zhipu AI.

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