AI model comparison
MiMo-V2.6-Flash vs GLM 5.3
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Xiaomi
MiMo-V2.6-Flash
MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi.
- Input / 1M
- $0.14
- Output / 1M
- $0.28
- Context
- 1.05M
Z.ai
GLM 5.3
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks.
- Input / 1M
- $0.04
- Output / 1M
- $7
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
MiMo-V2.6-Flash
8.5x cheaper for a typical chat
Higher intelligence score
GLM 5.3
44.8 vs 37.9 on Artificial Analysis
Larger context window
MiMo-V2.6-Flash
1.05M vs 1.05M tokens
Newer release
MiMo-V2.6-Flash
Released September 21, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
MiMo-V2.6-Flash vs GLM 5.3 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.14 | $0.04 |
| Output tokensPer 1M tokens | $0.28 | $7 |
| Cached input (read)Per 1M tokens | $0.00 | $0.04 |
| 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 | 131K tokens | 944K tokens |
| Input types | Audio, Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Max, High, Low |
| Default reasoning effort | Not available | Max |
| Release date | September 21, 2026 | August 18, 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.
- MiMo-V2.6-Flash vs DeepSeek V4.1 Flash
- MiMo-V2.6-Flash vs GLM 5.3 Flash
- MiMo-V2.6-Flash vs Hy4 preview
- MiMo-V2.6-Flash vs GPT-6 Luna
- MiMo-V2.6-Flash vs DeepSeek V4 Flash 0731
- MiMo-V2.6-Flash vs Claude Opus 5.5
- MiMo-V2.6-Flash vs DeepSeek V4 Flash 0423
- MiMo-V2.6-Flash vs Step 5 Preview
- MiMo-V2.6-Flash vs Gemini 3.8 Flash
- MiMo-V2.6-Flash vs Hy3
- MiMo-V2.6-Flash vs GPT-5.6 Luna
- MiMo-V2.6-Flash vs GPT-6.1 Sol
- MiMo-V2.6-Flash vs Muse Spark 1.3 Contributor
- MiMo-V2.6-Flash vs Claude Sonnet 5.5
- MiMo-V2.6-Flash vs MiMo-V2.6-Pro
- MiMo-V2.6-Flash vs DeepSeek V4 Pro 0813
- MiMo-V2.6-Flash vs GPT-6 Astra
- MiMo-V2.6-Flash vs Claude Opus 5
- MiMo-V2.6-Flash vs MiMo-V2.5
- MiMo-V2.6-Flash vs Claude Fable 5.1
- MiMo-V2.6-Flash vs DeepSeek V4 Pro 0423
- MiMo-V2.6-Flash vs Solar Pro 4
- MiMo-V2.6-Flash vs GPT-6 Luna Pro
- MiMo-V2.6-Flash vs Claude Haiku 5.5
- MiMo-V2.6-Flash vs Ling 3.1 Flash
- MiMo-V2.6-Flash vs Qwen3.8 Flash
- MiMo-V2.6-Flash vs Qwen3.7 Flash
- MiMo-V2.6-Flash vs Mistral Nemo
- MiMo-V2.6-Flash vs DeepSeek V4 Flash Vision Exp
- 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 DeepSeek V4 Flash 0731
- GLM 5.3 vs Claude Sonnet 5.5
- GLM 5.3 vs GPT-6 Astra
- GLM 5.3 vs DeepSeek V4 Flash 0423
- GLM 5.3 vs GPT-6.1 Sol
- GLM 5.3 vs Step 5 Preview
- GLM 5.3 vs Gemini 3.8 Flash
- GLM 5.3 vs Hy3
- GLM 5.3 vs Muse Spark 1.3
- GLM 5.3 vs GPT-6 Sol
- GLM 5.3 vs Kimi K3
- GLM 5.3 vs GPT-5.6 Sol
- GLM 5.3 vs Grok 4.7
- GLM 5.3 vs MiMo-V2.6-Pro
- GLM 5.3 vs Qwen3.8 Max (0902)
- GLM 5.3 vs GLM 5.2
- GLM 5.3 vs Grok 4.6
- GLM 5.3 vs Claude Haiku 5.5
- GLM 5.3 vs GPT-5.6 Terra
- GLM 5.3 vs Claude Opus 4.8
- GLM 5.3 vs Ling 3.1 Flash
- GLM 5.3 vs Claude Opus 4.7
- GLM 5.3 vs Qwen3.8 2.4T A95B
- GLM 5.3 vs Gemini 3.7 Flash
- GLM 5.3 vs Muse Spark 1.2
- GLM 5.3 vs Grok 4.5
Our take
MiMo-V2.6-Flash is 8.5x cheaper for a typical chat. GLM 5.3 scores higher on the Artificial Analysis Intelligence Index (44.8 vs 37.9). MiMo-V2.6-Flash 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 MiMo-V2.6-Flash or GLM 5.3 cheaper?
MiMo-V2.6-Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). MiMo-V2.6-Flash costs $0.14 per 1M input tokens and $0.28 per 1M output tokens, while GLM 5.3 costs $0.04 per 1M input tokens and $7 per 1M output tokens.
Which has a bigger context window, MiMo-V2.6-Flash or GLM 5.3?
MiMo-V2.6-Flash supports up to 1.05M tokens of context, compared with 1.05M for GLM 5.3.
Is MiMo-V2.6-Flash smarter than GLM 5.3?
On the Artificial Analysis Intelligence Index, MiMo-V2.6-Flash scores 37.9 and GLM 5.3 scores 44.8, putting GLM 5.3 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use MiMo-V2.6-Flash and GLM 5.3 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see MiMo-V2.6-Flash and GLM 5.3 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to MiMo-V2.6-Flash and GLM 5.3 at the same time. Compare the answers side by side and keep the best one.