GLM-5V-Turbo vs MiniMax-M2.7-highspeed vs Nemotron Cascade 2 30B A3B
GLM-5V-Turbo comes out ahead, 61 to 35 and 34 on our weighted score, though MiniMax-M2.7-highspeed is 45% cheaper per token.
- Our pick
Z.ai (Zhipu)GLM-5V-Turbo
61/100- ECI—
- Price$1.20 / $4.00
- Context200K
MiniMaxMiniMax-M2.7-highspeed
34/100- ECI—
- Price$0.60 / $2.40
- Context205K
NVIDIANemotron Cascade 2 30B A3B
35/100- ECI—
- Price—
- Context256K
GLM-5V-Turbo is our pick
GLM-5V-Turbo is the better all-round choice, scoring 61/100 against Nemotron Cascade 2 30B A3B (35) and MiniMax-M2.7-highspeed (34). It leads on inputs & features. Nemotron Cascade 2 30B A3B wins on context window. The score weighs inputs & features 60%, context window 40%. 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) · Nemotron Cascade 2 30B A3B unpriced
- Longest contextNemotron Cascade 2 30B A3BNemotron Cascade 2 30B A3B 256,000 · MiniMax-M2.7-highspeed 204,800 · GLM-5V-Turbo 200,000 tokens
- Widest inputsGLM-5V-TurboGLM-5V-Turbo: Text, Images, PDFs, Video · MiniMax-M2.7-highspeed: Text · Nemotron Cascade 2 30B A3B: Text
- Self-hostingMiniMax-M2.7-highspeed and Nemotron Cascade 2 30B A3BPublishes downloadable weights
| Measure | Weight | GLM-5V-Turbo | MiniMax-M2.7-highspeed | Nemotron Cascade 2 30B A3B |
|---|---|---|---|---|
| Inputs & features | 60% | 80 | 35 | 35 |
| Context window | 40% | 32 | 32 | 36 |
| Overall | 100% | 61/100 | 34/100 | 35/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GLM-5V-TurboZ.ai (Zhipu) | MiniMax-M2.7-highspeedMiniMax | Nemotron Cascade 2 30B A3BNVIDIA |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.20 | $0.60 (best) | — |
| Output | $4.00 | $2.40 (best) | — |
| Cached input | $0.24 | $0.06 (best) | — |
| Blended (3:1) | $1.90 | $1.05 (best) | — |
| Long-context rate | Same rate | Same rate | — |
| Price source | Official Z.AI API | Official MiniMax (minimax.io) API | — |
| Limits | |||
| Context window | 200,000 tokens | 204,800 tokens | 256,000 tokens (best) |
| Max output | 131,072 tokens (best) | 131,072 tokens (best) | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | glm-5v-turbo | MiniMax-M2.7-highspeed | — |
| API providers | 14 | 14 | — |
| Released | Apr 1, 2026 | Mar 18, 2026 | Mar 24, 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.
- GLM-5V-Turbo$20.00
- MiniMax-M2.7-highspeed$10.80
- Nemotron Cascade 2 30B A3B—
Which should you choose?
Which is better: GLM-5V-Turbo, MiniMax-M2.7-highspeed or Nemotron Cascade 2 30B A3B?
GLM-5V-Turbo is the better all-round choice, scoring 61/100 against Nemotron Cascade 2 30B A3B (35) and MiniMax-M2.7-highspeed (34). It leads on inputs & features. Nemotron Cascade 2 30B A3B wins on context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, GLM-5V-Turbo, MiniMax-M2.7-highspeed or Nemotron Cascade 2 30B A3B?
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). Nemotron Cascade 2 30B A3B has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GLM-5V-Turbo has not been scored yet, MiniMax-M2.7-highspeed has not been scored yet and Nemotron Cascade 2 30B A3B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-5V-Turbo, MiniMax-M2.7-highspeed and Nemotron Cascade 2 30B A3B 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?
Nemotron Cascade 2 30B A3B has the largest context window at 256,000 tokens, against 204,800 for MiniMax-M2.7-highspeed and 200,000 for GLM-5V-Turbo. Maximum output per response: GLM-5V-Turbo up to 131,072, MiniMax-M2.7-highspeed up to 131,072, Nemotron Cascade 2 30B A3B up to 32,768 tokens.
Which can read images, PDFs, audio or video?
GLM-5V-Turbo accepts text, images, PDFs and video; MiniMax-M2.7-highspeed accepts text; Nemotron Cascade 2 30B A3B accepts text. GLM-5V-Turbo handles the widest range of inputs.
Are any of these open source?
MiniMax-M2.7-highspeed and Nemotron Cascade 2 30B A3B 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. Nemotron Cascade 2 30B A3B came out Mar 24, 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.
