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GLM-5.3 vs MiniMax M2.5

Comparing GLM-5.3 and MiniMax M2.5 across benchmarks, pricing, and capabilities.

Zhipu AI · MiniMax · Updated for 2026

Which is better?

GLM-5.3 and MiniMax M2.5 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, MiniMax M2.5 is roughly 4.1x 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 most recent training data — it shipped Aug 2026

Choose MiniMax M2.5

  • cost matters — it's about 4.1x 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 M2.5
MiniMax
Benchmark wins
—
—
Input price
$1.40 / M
$0.30 / M
Output price
$4.40 / M
$1.20 / M
Context window
1,000,000
1,000,000
Released
Aug 2026
Feb 2026
License
Unknown
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and MiniMax M2.5don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

MiniMax M2.5 costs less

For input processing, GLM-5.3 ($1.40/1M tokens) is 4.7x more expensive than MiniMax M2.5 ($0.30/1M tokens).

For output processing, GLM-5.3 ($4.40/1M tokens) is 3.7x more expensive than MiniMax M2.5 ($1.20/1M tokens).

In conclusion, GLM-5.3 is more expensive than MiniMax M2.5.*

* 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 M2.5
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

523.0B diff

GLM-5.3 has 523.0B more parameters than MiniMax M2.5, making it 227.4% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
MiniMax
MiniMax M2.5
230.0Bparameters
753.0B
GLM-5.3
230.0B
MiniMax M2.5

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,000,000 tokens. MiniMax M2.5 can generate longer responses up to 1,000,000 tokens, while GLM-5.3 is limited to 128,000 tokens.

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
MiniMax
MiniMax M2.5
Input1,000,000 tokens
Output1,000,000 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 M2.5 was released on 2026-02-12.

GLM-5.3 is 6 months newer than MiniMax M2.5.

GLM-5.3

Aug 14, 2026

1 weeks ago

6mo newer
MiniMax M2.5

Feb 12, 2026

6 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-5.3 is available from ZAI. MiniMax M2.5 is available from MiniMax.

GLM-5.3

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

MiniMax M2.5

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* 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 M2.5 side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
MiniMax M2.5
Open in Playground

FAQ

Common questions about GLM-5.3 vs MiniMax M2.5.

Which is better, GLM-5.3 or MiniMax M2.5?

GLM-5.3 (Zhipu AI) and MiniMax M2.5 (MiniMax) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5.3 compare to MiniMax M2.5 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 M2.5 scores SWE-Bench Verified: 80.2%, BFCL_v3_MultiTurn: 76.8%, BrowseComp: 76.3%, MEWC: 74.4%, GDPval-MM: 59.0%.

Is GLM-5.3 cheaper than MiniMax M2.5?

MiniMax M2.5 is 4.7x cheaper for input tokens. GLM-5.3 costs $1.40/M input and $4.40/M output via z. MiniMax M2.5 costs $0.30/M input and $1.20/M output via minimax.

What are the context window sizes for GLM-5.3 and MiniMax M2.5?

GLM-5.3 supports 1.0M tokens and MiniMax M2.5 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 M2.5?

Key differences include input pricing ($1.40 vs $0.30/M), licensing (Unknown vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and MiniMax M2.5?

GLM-5.3 is developed by Zhipu AI and MiniMax M2.5 is developed by MiniMax.

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