AI model comparison
GLM 5.2 vs MiniMax M3
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
GLM 5.2 is a large-scale reasoning model from Z.ai.
- Input / 1M
- $0.62
- Output / 1M
- $2.42
- Context
- 1.05M
MiniMax-M3 is a multimodal foundation model from MiniMax.
- Input / 1M
- $0.30
- Output / 1M
- $1.20
- Context
- 1.05M
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
MiniMax M3
2.0x cheaper for a typical chat
Higher intelligence score
GLM 5.2
33.7 vs 29.2 on Artificial Analysis
Larger context window
Tie
1.05M vs 1.05M tokens
Newer release
GLM 5.2
Released June 16, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
GLM 5.2 vs MiniMax M3 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.62 | $0.30 |
| Output tokensPer 1M tokens | $2.42 | $1.20 |
| Cached input (read)Per 1M tokens | $0.14 | $0.06 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 944K tokens | 512K tokens |
| Input types | Text | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Extra high, High, None | Not available |
| Default reasoning effort | High | Not available |
| Release date | June 16, 2026 | May 31, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
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- GLM 5.2 vs Qwen3.7 Max
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- GLM 5.2 vs GLM 5 Turbo
- GLM 5.2 vs GLM 5.1
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- MiniMax M3 vs Hy3
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- MiniMax M3 vs Solar Pro 4
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- MiniMax M3 vs Qwen3.8 27B
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- MiniMax M3 vs MiMo-V2.5-Pro
- MiniMax M3 vs Kimi K2.6
- MiniMax M3 vs Qwen3.7 Max
- MiniMax M3 vs GPT-5.6 Luna Pro
- MiniMax M3 vs GLM 5
- MiniMax M3 vs Grok Build 0.1
- MiniMax M3 vs Qwen3.6 Plus
- MiniMax M3 vs Qwen3.7 Plus
- MiniMax M3 vs Nemotron 3.5 Super VL
- MiniMax M3 vs Inkling Small
- MiniMax M3 vs MiniMax M2.7
- MiniMax M3 vs MiniMax M2.5
- MiniMax M3 vs MiniMax M2.1
Our take
MiniMax M3 is 2.0x cheaper for a typical chat. GLM 5.2 scores higher on the Artificial Analysis Intelligence Index (33.7 vs 29.2). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is GLM 5.2 or MiniMax M3 cheaper?
MiniMax M3 is cheaper for a typical chat (2K input tokens and 500 output tokens). MiniMax M3 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens, while GLM 5.2 costs $0.62 per 1M input tokens and $2.42 per 1M output tokens.
Which has a bigger context window, GLM 5.2 or MiniMax M3?
GLM 5.2 supports up to 1.05M tokens of context, compared with 1.05M for MiniMax M3.
Is GLM 5.2 smarter than MiniMax M3?
On the Artificial Analysis Intelligence Index, GLM 5.2 scores 33.7 and MiniMax M3 scores 29.2, putting GLM 5.2 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GLM 5.2 and MiniMax M3 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5.2 and MiniMax M3 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GLM 5.2 and MiniMax M3 at the same time. Compare the answers side by side and keep the best one.