Model Comparison

GLM-5 vs MiniMax M1 80KWhich is better in 2026?

GLM-5 significantly outperforms across most benchmarks. MiniMax M1 80K is 1.6x cheaper per token.

Verdict: GLM-5 vs MiniMax M1 80K — which is better?

GLM-5 (by Zhipu AI) and MiniMax M1 80K (by MiniMax) 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.

GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while MiniMax M1 80K is better at 0 benchmarks. GLM-5 significantly outperforms across most benchmarks.

On price, MiniMax M1 80K is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiniMax M1 80K also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GLM-5 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Feb 2026

Choose MiniMax M1 80K if…

  • cost matters — it's about 1.6x cheaper per token
  • you process long inputs — it offers a 1,000,000 token context window
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while MiniMax M1 80K is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M1 80K costs less

For input processing, GLM-5 ($1.00/1M tokens) is 1.8x more expensive than MiniMax M1 80K ($0.55/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.5x more expensive than MiniMax M1 80K ($2.20/1M tokens).

In conclusion, GLM-5 is more expensive than MiniMax M1 80K.*

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

Lowest available price from all providers
Sun Jun 07 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
MiniMax
MiniMax M1 80K
Input tokens$0.55
Output tokens$2.20
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

288.0B diff

GLM-5 has 288.0B more parameters than MiniMax M1 80K, making it 63.2% larger.

Zhipu AI
GLM-5
744.0Bparameters
MiniMax
MiniMax M1 80K
456.0Bparameters
744.0B
GLM-5
456.0B
MiniMax M1 80K

Context Window

Maximum input and output token capacity

MiniMax M1 80K accepts 1,000,000 input tokens compared to GLM-5's 200,000 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while MiniMax M1 80K is limited to 40,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
MiniMax
MiniMax M1 80K
Input1,000,000 tokens
Output40,000 tokens
Sun Jun 07 2026 • llm-stats.com

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 M1 80K

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while MiniMax M1 80K was released on 2025-06-16.

GLM-5 is 8 months newer than MiniMax M1 80K.

GLM-5

Feb 11, 2026

3 months ago

8mo newer
MiniMax M1 80K

Jun 16, 2025

11 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

Provider Availability

GLM-5 is available from FriendliAI, ZAI. MiniMax M1 80K is available from Novita.

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 M1 80K

novita logo
Novita
Input Price:Input: $0.55/1MOutput Price:Output: $2.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Higher SWE-Bench Verified score (77.8% vs 56.0%)
MiniMax
Larger context window (1,000,000 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
MiniMax
MiniMax M1 80K

FAQ

Common questions about GLM-5 vs MiniMax M1 80K.

Which is better, GLM-5 or MiniMax M1 80K?

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and MiniMax M1 80K 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 M1 80K 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 M1 80K scores MATH-500: 96.8%, ZebraLogic: 86.8%, AIME 2024: 86.0%, MMLU-Pro: 81.1%, AIME 2025: 76.9%.

Is GLM-5 cheaper than MiniMax M1 80K?

MiniMax M1 80K is 1.8x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. MiniMax M1 80K costs $0.55/M input and $2.20/M output via novita.

What are the context window sizes for GLM-5 and MiniMax M1 80K?

GLM-5 supports 200K tokens and MiniMax M1 80K 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 M1 80K?

Key differences include context window (200K vs 1.0M), input pricing ($1.00 vs $0.55/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and MiniMax M1 80K?

GLM-5 is developed by Zhipu AI and MiniMax M1 80K is developed by MiniMax.

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