MiniMax-M2.7-highspeed vs GLM-5V-Turbo
GLM-5V-Turbo comes out ahead, 49 to 41 on our weighted score, though MiniMax-M2.7-highspeed is 45% cheaper per token.
MiniMaxMiniMax-M2.7-highspeed
41/100- ECI—
- Price$0.60 / $2.40
- Context205K
- Our pick
Z.ai (Zhipu)GLM-5V-Turbo
49/100- ECI—
- Price$1.20 / $4.00
- Context200K
Add a model
Make it a three-way comparison.
GLM-5V-Turbo is our pick
GLM-5V-Turbo is the better all-round choice, scoring 49/100 against MiniMax-M2.7-highspeed (41). It leads on inputs & features. MiniMax-M2.7-highspeed wins on price. 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 priceMiniMax-M2.7-highspeedMiniMax-M2.7-highspeed $1.05 · GLM-5V-Turbo $1.90 per 1M tokens (3:1 blend)
- Longest contextMiniMax-M2.7-highspeedMiniMax-M2.7-highspeed 204,800 · GLM-5V-Turbo 200,000 tokens
- Widest inputsGLM-5V-TurboMiniMax-M2.7-highspeed: Text · GLM-5V-Turbo: Text, Images, PDFs, Video
- Self-hostingMiniMax-M2.7-highspeedPublishes downloadable weights
| Measure | Weight | MiniMax-M2.7-highspeed | GLM-5V-Turbo |
|---|---|---|---|
| Price | 50% | 49 | 37 |
| Inputs & features | 30% | 35 | 80 |
| Context window | 20% | 32 | 32 |
| Overall | 100% | 41/100 | 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 | MiniMax-M2.7-highspeedMiniMax | GLM-5V-TurboZ.ai (Zhipu) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.60 (best) | $1.20 |
| Output | $2.40 (best) | $4.00 |
| Cached input | $0.06 (best) | $0.24 |
| Blended (3:1) | $1.05 (best) | $1.90 |
| Long-context rate | Same rate | Same rate |
| Price source | Official MiniMax (minimax.io) API | Official Z.AI API |
| Limits | ||
| Context window | 204,800 tokens (best) | 200,000 tokens |
| Max output | 131,072 tokens | 131,072 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | Yes |
| Audio | No | No |
| Video | No | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | MiniMax-M2.7-highspeed | glm-5v-turbo |
| API providers | 14 | 14 |
| Released | Mar 18, 2026 | Apr 1, 2026 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- MiniMax-M2.7-highspeed$10.80
- GLM-5V-Turbo$20.00
Which should you choose?
Which is better: MiniMax-M2.7-highspeed or GLM-5V-Turbo?
GLM-5V-Turbo is the better all-round choice, scoring 49/100 against MiniMax-M2.7-highspeed (41). It leads on inputs & features. MiniMax-M2.7-highspeed wins on price. 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, MiniMax-M2.7-highspeed or GLM-5V-Turbo?
MiniMax-M2.7-highspeed is cheaper at $0.60 input / $2.40 output per million tokens (official MiniMax (minimax.io) API price). 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 $1.05 per million tokens for MiniMax-M2.7-highspeed versus $1.90 for GLM-5V-Turbo (1.8× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. MiniMax-M2.7-highspeed 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 MiniMax-M2.7-highspeed and GLM-5V-Turbo 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?
MiniMax-M2.7-highspeed has the largest context window at 204,800 tokens, against 200,000 for GLM-5V-Turbo. Maximum output per response: MiniMax-M2.7-highspeed up to 131,072, GLM-5V-Turbo up to 131,072 tokens.
Which can read images, PDFs, audio or video?
MiniMax-M2.7-highspeed 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?
MiniMax-M2.7-highspeed publishes its weights and can be self-hosted; GLM-5V-Turbo is proprietary.
Which is newer?
GLM-5V-Turbo is the newest, released Apr 1, 2026. MiniMax-M2.7-highspeed came out Mar 18, 2026.
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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