AI model comparison
GLM 5.3 vs MiMo-V2.5
Side by side comparison of GLM 5.3 and MiMo-V2.5 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 is a native omnimodal model by Xiaomi.
- Input / 1M
- $0.40
- Output / 1M
- $2
- 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
GLM 5.3
2.1x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
MiMo-V2.5
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 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.07 | $0.40 |
| Output tokensPer 1M tokens | $1.40 | $2 |
| Cached input (read)Per 1M tokens | $0.07 | $0.08 |
| 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 | 66K tokens |
| Input types | Text | Audio, Image, Text, Video |
| 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 | 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.
- GLM 5.3 vs DeepSeek V4.1 Flash 1017
- GLM 5.3 vs DeepSeek V4.1 Flash
- GLM 5.3 vs GLM 5.3 Flash
- GLM 5.3 vs Hy4 preview
- GLM 5.3 vs GPT-6 Luna
- GLM 5.3 vs Claude Opus 5.5
- GLM 5.3 vs Step 5 Preview
- GLM 5.3 vs GPT-6.1 Sol
- GLM 5.3 vs MiMo-V2.6-Flash
- GLM 5.3 vs DeepSeek V4 Flash 0731
- GLM 5.3 vs Hy3
- GLM 5.3 vs Claude Haiku 5.5
- GLM 5.3 vs Muse Spark 1.3
- GLM 5.3 vs MiniMax M3.1 Flash
- GLM 5.3 vs Grok 4.7
- GLM 5.3 vs Qwen3.8 Max (0902)
- GLM 5.3 vs Gemini 3.8 Flash
- GLM 5.3 vs GPT-5.6 Luna
- GLM 5.3 vs MiMo-V2.6-Pro
- GLM 5.3 vs Solar Pro 4
- GLM 5.3 vs GLM 5.2
- GLM 5.3 vs Mistral Large 4
- GLM 5.3 vs DeepSeek V4 Pro 0813
- GLM 5.3 vs Qwen3.8 27B
- GLM 5.3 vs Gemini 3 Flash Preview
- GLM 5.3 vs DeepSeek V4 Pro 0423
- GLM 5.3 vs Gemini 3.1 Flash Lite
- GLM 5.3 vs Gemini 3.7 Flash
- GLM 5.3 vs Step 3.7 Flash
- GLM 5.3 vs Gemini 2.5 Flash
- GLM 5.3 vs GLM 5.3 FlashX
- GLM 5.3 vs Qwen3.6 35B A3B
- GLM 5.3 vs GPT-5.6 Luna Pro
- GLM 5.3 vs MiMo-V2.5-Pro
Our take
GLM 5.3 is 2.1x cheaper for a typical chat. MiMo-V2.5 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 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 costs $0.40 per 1M input tokens and $2 per 1M output tokens.
Which has a bigger context window, GLM 5.3 or MiMo-V2.5?
MiMo-V2.5 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 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 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GLM 5.3 and MiMo-V2.5 at the same time. Compare the answers side by side and keep the best one.