GLM-5-Turbo vs MiMo-V2.5-Pro-UltraSpeed
MiMo-V2.5-Pro-UltraSpeed comes out ahead, 43 to 38 on our weighted score, and it is the cheaper option too.
Z.ai (Zhipu)GLM-5-Turbo
38/100- ECI—
- Price$1.20 / $4.00
- Context200K
- Our pick
XiaomiMiMo-V2.5-Pro-UltraSpeed
43/100- ECI—
- Price$1.30 / $2.61
- Context1.05M
Add a model
Make it a three-way comparison.
MiMo-V2.5-Pro-UltraSpeed is our pick
MiMo-V2.5-Pro-UltraSpeed is the better all-round choice, scoring 43/100 against GLM-5-Turbo (38). It leads on price and context window. GLM-5-Turbo wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceMiMo-V2.5-Pro-UltraSpeedMiMo-V2.5-Pro-UltraSpeed $1.63 · GLM-5-Turbo $1.90 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2.5-Pro-UltraSpeedMiMo-V2.5-Pro-UltraSpeed 1,048,576 · GLM-5-Turbo 200,000 tokens
- Widest inputsSame inputsGLM-5-Turbo: Text · MiMo-V2.5-Pro-UltraSpeed: Text
- Self-hostingMiMo-V2.5-Pro-UltraSpeedPublishes downloadable weights
| Measure | Weight | GLM-5-Turbo | MiMo-V2.5-Pro-UltraSpeed |
|---|---|---|---|
| Price | 50% | 37 | 40 |
| Inputs & features | 30% | 45 | 35 |
| Context window | 20% | 32 | 61 |
| Overall | 100% | 38/100 | 43/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GLM-5-TurboZ.ai (Zhipu) | MiMo-V2.5-Pro-UltraSpeedXiaomi |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $1.20 (best) | $1.30 |
| Output | $4.00 | $2.61 (best) |
| Cached input | $0.24 | $0.011 (best) |
| Blended (3:1) | $1.90 | $1.63 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Z.AI API | Official Xiaomi API |
| Limits | ||
| Context window | 200,000 tokens | 1,048,576 tokens (best) |
| Max output | 131,072 tokens | 131,072 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | glm-5-turbo | mimo-v2.5-pro-ultraspeed |
| API providers | 17 (best) | 1 |
| Released | Mar 16, 2026 | Jun 8, 2026 |
| Knowledge cutoff | — | Dec 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GLM-5-Turbo$20.00
- MiMo-V2.5-Pro-UltraSpeed$18.27
Which should you choose?
Which is better: GLM-5-Turbo or MiMo-V2.5-Pro-UltraSpeed?
MiMo-V2.5-Pro-UltraSpeed is the better all-round choice, scoring 43/100 against GLM-5-Turbo (38). It leads on price and context window. GLM-5-Turbo wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, GLM-5-Turbo or MiMo-V2.5-Pro-UltraSpeed?
MiMo-V2.5-Pro-UltraSpeed is cheaper at $1.30 input / $2.61 output per million tokens (official Xiaomi API price). GLM-5-Turbo costs $1.20 input / $4.00 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $1.63 per million tokens for MiMo-V2.5-Pro-UltraSpeed versus $1.90 for GLM-5-Turbo (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. GLM-5-Turbo has not been scored yet and MiMo-V2.5-Pro-UltraSpeed has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-5-Turbo and MiMo-V2.5-Pro-UltraSpeed yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
MiMo-V2.5-Pro-UltraSpeed has the largest context window at 1,048,576 tokens, against 200,000 for GLM-5-Turbo. Maximum output per response: GLM-5-Turbo up to 131,072, MiMo-V2.5-Pro-UltraSpeed up to 131,072 tokens.
Which can read images, PDFs, audio or video?
GLM-5-Turbo accepts text; MiMo-V2.5-Pro-UltraSpeed accepts text. They handle the same number of input types.
Are any of these open source?
MiMo-V2.5-Pro-UltraSpeed publishes its weights and can be self-hosted; GLM-5-Turbo is proprietary.
Which is newer?
MiMo-V2.5-Pro-UltraSpeed is the newest, released Jun 8, 2026. GLM-5-Turbo came out Mar 16, 2026. Knowledge cutoff: MiMo-V2.5-Pro-UltraSpeed Dec 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
Related comparisons
- Add Gemini Robotics-ER 1.6 PreviewThree-way comparison
- GLM-5-Turbo vs Gemini Robotics-ER 1.6 PreviewGoogle
- GLM-5-Turbo vs DeepSeek V4 ProDeepSeek
- GLM-5-Turbo vs Grok 4.20 (Non-Reasoning)xAI
- GLM-5-Turbo vs Seed 2.1 ProByteDance Seed
- MiMo-V2.5-Pro-UltraSpeed vs Seed 2.1 ProByteDance Seed
- MiMo-V2.5-Pro-UltraSpeed vs DeepSeek V4 ProDeepSeek
