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GLM-5.3 vs MiniMax M1 80K

GLM-5.3 significantly outperforms across most benchmarks. MiniMax M1 80K is 2.2x cheaper per token.

Zhipu AI · MiniMax · Updated for 2026

Which is better?

GLM-5.3 outperforms in 1 benchmarks (Humanity's Last Exam), while MiniMax M1 80K is better at 0 benchmarks. GLM-5.3 significantly outperforms across most benchmarks.

On price, MiniMax M1 80K is roughly 2.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

Choose GLM-5.3

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

Choose MiniMax M1 80K

  • cost matters — it's about 2.2x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GLM-5.3
Zhipu AI
MiniMax M1 80K
MiniMax
Benchmark wins
1 of 1
0 of 1
Input price
$1.40 / M
$0.55 / M
Output price
$4.40 / M
$2.20 / M
Context window
1,000,000
1,000,000
Released
Aug 2026
Jun 2025
License
Unknown
MIT

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-5.3 outperforms in 1 benchmarks (Humanity's Last Exam), while MiniMax M1 80K is better at 0 benchmarks.

GLM-5.3 significantly outperforms across most benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

MiniMax M1 80K costs less

For input processing, GLM-5.3 ($1.40/1M tokens) is 2.5x more expensive than MiniMax M1 80K ($0.55/1M tokens).

For output processing, GLM-5.3 ($4.40/1M tokens) is 2.0x more expensive than MiniMax M1 80K ($2.20/1M tokens).

In conclusion, GLM-5.3 is more expensive than MiniMax M1 80K.*

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

Lowest available price from all providers
Mon Aug 24 2026 • llm-stats.com
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
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

297.0B diff

GLM-5.3 has 297.0B more parameters than MiniMax M1 80K, making it 65.1% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
MiniMax
MiniMax M1 80K
456.0Bparameters
753.0B
GLM-5.3
456.0B
MiniMax M1 80K

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,000,000 tokens. GLM-5.3 can generate longer responses up to 128,000 tokens, while MiniMax M1 80K is limited to 40,000 tokens.

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
MiniMax
MiniMax M1 80K
Input1,000,000 tokens
Output40,000 tokens
Mon Aug 24 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while MiniMax M1 80K was released on 2025-06-16.

GLM-5.3 is 14 months newer than MiniMax M1 80K.

GLM-5.3

Aug 14, 2026

1 weeks ago

1.2yr newer
MiniMax M1 80K

Jun 16, 2025

1.2 years 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-5.3 is available from ZAI. MiniMax M1 80K is available from Novita.

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

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→

Judge for yourself.

Run your own prompts against GLM-5.3 and MiniMax M1 80K side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
MiniMax M1 80K
Open in Playground

FAQ

Common questions about GLM-5.3 vs MiniMax M1 80K.

Which is better, GLM-5.3 or MiniMax M1 80K?

GLM-5.3 significantly outperforms across most benchmarks. GLM-5.3 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-5.3 compare to MiniMax M1 80K in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. 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-5.3 cheaper than MiniMax M1 80K?

MiniMax M1 80K is 2.5x cheaper for input tokens. GLM-5.3 costs $1.40/M input and $4.40/M output via z. MiniMax M1 80K costs $0.55/M input and $2.20/M output via novita.

What are the context window sizes for GLM-5.3 and MiniMax M1 80K?

GLM-5.3 supports 1.0M 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-5.3 and MiniMax M1 80K?

Key differences include input pricing ($1.40 vs $0.55/M), licensing (Unknown vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and MiniMax M1 80K?

GLM-5.3 is developed by Zhipu AI and MiniMax M1 80K is developed by MiniMax.

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