DeepSeek V4 Pro vs MiMo-V2.5-Pro-UltraSpeed vs GLM-5V-Turbo
GLM-5V-Turbo comes out ahead, 49 to 45 and 43 on our weighted score, though MiMo-V2.5-Pro-UltraSpeed is 14% cheaper per token.
DeepSeekDeepSeek V4 Pro
45/100- ECI—
- Price$1.32 / $3.00
- Context1M
XiaomiMiMo-V2.5-Pro-UltraSpeed
43/100- ECI—
- Price$1.30 / $2.61
- Context1.05M
- Our pick
Z.ai (Zhipu)GLM-5V-Turbo
49/100- ECI—
- Price$1.20 / $4.00
- Context200K
GLM-5V-Turbo is our pick
GLM-5V-Turbo is the better all-round choice, scoring 49/100 against DeepSeek V4 Pro (45) and MiMo-V2.5-Pro-UltraSpeed (43). It leads 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 · DeepSeek V4 Pro $1.74 · GLM-5V-Turbo $1.90 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2.5-Pro-UltraSpeedMiMo-V2.5-Pro-UltraSpeed 1,048,576 · DeepSeek V4 Pro 1,000,000 · GLM-5V-Turbo 200,000 tokens
- Widest inputsGLM-5V-TurboDeepSeek V4 Pro: Text · MiMo-V2.5-Pro-UltraSpeed: Text · GLM-5V-Turbo: Text, Images, PDFs, Video
- Self-hostingDeepSeek V4 Pro and MiMo-V2.5-Pro-UltraSpeedPublishes downloadable weights
| Measure | Weight | DeepSeek V4 Pro | MiMo-V2.5-Pro-UltraSpeed | GLM-5V-Turbo |
|---|---|---|---|---|
| Price | 50% | 38 | 40 | 37 |
| Inputs & features | 30% | 45 | 35 | 80 |
| Context window | 20% | 60 | 61 | 32 |
| Overall | 100% | 45/100 | 43/100 | 49/100 |
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 | DeepSeek V4 ProDeepSeek | MiMo-V2.5-Pro-UltraSpeedXiaomi | GLM-5V-TurboZ.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.32 | $1.30 | $1.20 (best) |
| Output | $3.00 | $2.61 (best) | $4.00 |
| Cached input | — | $0.011 (best) | $0.24 |
| Blended (3:1) | $1.74 | $1.63 (best) | $1.90 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 49 providers | Official Xiaomi API | Official Z.AI API |
| Limits | |||
| Context window | 1,000,000 tokens | 1,048,576 tokens (best) | 200,000 tokens |
| Max output | 384,000 tokens (best) | 131,072 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | — | mimo-v2.5-pro-ultraspeed | glm-5v-turbo |
| API providers | 52 (best) | 1 | 14 |
| Released | Apr 24, 2026 | Jun 8, 2026 | Apr 1, 2026 |
| Knowledge cutoff | May 2025 | 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.
- DeepSeek V4 Pro$19.20
- MiMo-V2.5-Pro-UltraSpeed$18.27
- GLM-5V-Turbo$20.00
Which should you choose?
Which is better: DeepSeek V4 Pro, MiMo-V2.5-Pro-UltraSpeed or GLM-5V-Turbo?
GLM-5V-Turbo is the better all-round choice, scoring 49/100 against DeepSeek V4 Pro (45) and MiMo-V2.5-Pro-UltraSpeed (43). It leads 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, DeepSeek V4 Pro, MiMo-V2.5-Pro-UltraSpeed or GLM-5V-Turbo?
MiMo-V2.5-Pro-UltraSpeed is cheaper at $1.30 input / $2.61 output per million tokens (official Xiaomi API price). DeepSeek V4 Pro costs $1.32 input / $3.00 output per million tokens (median across 49 API providers); GLM-5V-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 $1.74 for DeepSeek V4 Pro (1.1× as much) and $1.90 for GLM-5V-Turbo (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. DeepSeek V4 Pro has not been scored yet, MiMo-V2.5-Pro-UltraSpeed has not been scored yet and GLM-5V-Turbo has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek V4 Pro, MiMo-V2.5-Pro-UltraSpeed and GLM-5V-Turbo yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three 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 1,000,000 for DeepSeek V4 Pro and 200,000 for GLM-5V-Turbo. Maximum output per response: DeepSeek V4 Pro up to 384,000, MiMo-V2.5-Pro-UltraSpeed up to 131,072, GLM-5V-Turbo up to 131,072 tokens.
Which can read images, PDFs, audio or video?
DeepSeek V4 Pro accepts text; MiMo-V2.5-Pro-UltraSpeed accepts text; GLM-5V-Turbo accepts text, images, PDFs and video. GLM-5V-Turbo handles the widest range of inputs.
Are any of these open source?
DeepSeek V4 Pro and MiMo-V2.5-Pro-UltraSpeed publishes its weights and can be self-hosted; GLM-5V-Turbo is proprietary.
Which is newer?
MiMo-V2.5-Pro-UltraSpeed is the newest, released Jun 8, 2026. DeepSeek V4 Pro came out Apr 24, 2026; GLM-5V-Turbo came out Apr 1, 2026. Knowledge cutoff: DeepSeek V4 Pro May 2025, 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.
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