Model Comparison

GLM-5 vs MiniMax M3

MiniMax M3 significantly outperforms across most benchmarks. MiniMax M3 is 1.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GLM-5 outperforms in 0 benchmarks, while MiniMax M3 is better at 3 benchmarks (BrowseComp, MCP Atlas, SWE-Bench Verified).

MiniMax M3 significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M3 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 1.7x more expensive than MiniMax M3 ($0.60/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.3x more expensive than MiniMax M3 ($2.40/1M tokens).

In conclusion, GLM-5 is more expensive than MiniMax M3.*

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
MiniMax
MiniMax M3
Input tokens$0.60
Output tokens$2.40
Best providerMiniMax
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

MiniMax M3 accepts 1,000,000 input tokens compared to GLM-5's 200,000 tokens. MiniMax M3 can generate longer responses up to 1,000,000 tokens, while GLM-5 is limited to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
MiniMax
MiniMax M3
Input1,000,000 tokens
Output1,000,000 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

MiniMax M3 supports multimodal inputs, whereas GLM-5 does not.

MiniMax M3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

MiniMax M3

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

GLM-5

MIT

Open weights

MiniMax M3

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while MiniMax M3 was released on 2026-06-01.

MiniMax M3 is 4 months newer than GLM-5.

GLM-5

Feb 11, 2026

3 months ago

MiniMax M3

Jun 1, 2026

5 days ago

3mo 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

GLM-5 is available from FriendliAI, ZAI. MiniMax M3 is available from MiniMax.

GLM-5

friendli logo
FriendliAI
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M
z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

MiniMax M3

minimax logo
MiniMax
Input Price:Input: $0.60/1MOutput Price:Output: $2.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI

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

MiniMax
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher BrowseComp score (83.5% vs 75.9%)
Higher MCP Atlas score (74.2% vs 67.8%)
Higher SWE-Bench Verified score (80.5% vs 77.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
MiniMax
MiniMax M3

FAQ

Common questions about GLM-5 vs MiniMax M3.

Which is better, GLM-5 or MiniMax M3?

MiniMax M3 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and MiniMax M3 is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-5 compare to MiniMax M3 in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. MiniMax M3 scores OmniDocBench 1.5: 91.6%, SpreadSheetBench-v1: 89.3%, USAMO 2026: 85.7%, Video-MME: 85.4%, VideoMMMU: 84.6%.

Is GLM-5 cheaper than MiniMax M3?

MiniMax M3 is 1.7x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. MiniMax M3 costs $0.60/M input and $2.40/M output via minimax.

What are the context window sizes for GLM-5 and MiniMax M3?

GLM-5 supports 200K tokens and MiniMax M3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5 and MiniMax M3?

Key differences include context window (200K vs 1.0M), input pricing ($1.00 vs $0.60/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and MiniMax M3?

GLM-5 is developed by Zhipu AI and MiniMax M3 is developed by MiniMax.