AI model comparison
GLM 5.3 vs MiMo-V2.5-Pro
Side by side comparison of GLM 5.3 and MiMo-V2.5-Pro on pricing, benchmark scores, context window, and more.
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks.
- Input / 1M
- $0.07
- Output / 1M
- $1.40
- Context
- 1.05M
MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro.
- Input / 1M
- $0.48
- Output / 1M
- $1.80
- Context
- 1.05M
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At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GLM 5.3
2.2x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
MiMo-V2.5-Pro
1.05M vs 1.05M tokens
Newer release
GLM 5.3
Released August 18, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
GLM 5.3 vs MiMo-V2.5-Pro API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.07 | $0.48 |
| Output tokensPer 1M tokens | $1.40 | $1.80 |
| Cached input (read)Per 1M tokens | $0.07 | $0.10 |
| 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 | 236K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Low | Not available |
| Default reasoning effort | Max | Not available |
| Release date | August 18, 2026 | April 22, 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 | Not 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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Our take
GLM 5.3 is 2.2x cheaper for a typical chat. MiMo-V2.5-Pro has the larger context window (1.05M vs 1.05M tokens). 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 5.3 or MiMo-V2.5-Pro cheaper?
GLM 5.3 is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 5.3 costs $0.07 per 1M input tokens and $1.40 per 1M output tokens, while MiMo-V2.5-Pro costs $0.48 per 1M input tokens and $1.80 per 1M output tokens.
Which has a bigger context window, GLM 5.3 or MiMo-V2.5-Pro?
MiMo-V2.5-Pro supports up to 1.05M tokens of context, compared with 1.05M for GLM 5.3.
Can I use GLM 5.3 and MiMo-V2.5-Pro at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5.3 and MiMo-V2.5-Pro answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GLM 5.3 and MiMo-V2.5-Pro at the same time. Compare the answers side by side and keep the best one.