GLM-4.6V vs MiniMax-M2.5-highspeed vs Seed 2.0 Code
Too close to call on our weighted score (GLM-4.6V 59, Seed 2.0 Code 57, MiniMax-M2.5-highspeed 41). The right pick depends on what you value most.
Z.ai (Zhipu)GLM-4.6V
59/100- ECI—
- Price$0.30 / $0.90
- Context128K
MiniMaxMiniMax-M2.5-highspeed
41/100- ECI—
- Price$0.60 / $2.40
- Context205K
ByteDance SeedSeed 2.0 Code
57/100- ECI—
- Price$0.475 / $2.37
- Context262K
Too close to call
It is close. Our weighted score puts them within 2 points (GLM-4.6V 59/100, Seed 2.0 Code 57/100, MiniMax-M2.5-highspeed 41/100), so choose by what matters most for your work: GLM-4.6V on price and Seed 2.0 Code for long inputs. 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 priceGLM-4.6VGLM-4.6V $0.45 · Seed 2.0 Code $0.95 · MiniMax-M2.5-highspeed $1.05 per 1M tokens (3:1 blend)
- Longest contextSeed 2.0 CodeSeed 2.0 Code 262,144 · MiniMax-M2.5-highspeed 204,800 · GLM-4.6V 128,000 tokens
- Widest inputsGLM-4.6V and Seed 2.0 CodeGLM-4.6V: Text, Images, Video · MiniMax-M2.5-highspeed: Text · Seed 2.0 Code: Text, Images, Video
- Self-hostingGLM-4.6V and MiniMax-M2.5-highspeedPublishes downloadable weights
| Measure | Weight | GLM-4.6V | MiniMax-M2.5-highspeed | Seed 2.0 Code |
|---|---|---|---|---|
| Price | 50% | 66 | 49 | 51 |
| Inputs & features | 30% | 70 | 35 | 80 |
| Context window | 20% | 24 | 32 | 37 |
| Overall | 100% | 59/100 | 41/100 | 57/100 |
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-4.6VZ.ai (Zhipu) | MiniMax-M2.5-highspeedMiniMax | Seed 2.0 CodeByteDance Seed |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.30 (best) | $0.60 | $0.475 |
| Output | $0.90 (best) | $2.40 | $2.37 |
| Cached input | — | $0.06 (best) | $0.095 |
| Blended (3:1) | $0.45 (best) | $1.05 | $0.95 |
| Long-context rate | Same rate | Same rate | Over 32K: $0.712 / $3.56 |
| Price source | Official Z.AI API | Official MiniMax (minimax.io) API | Official Volcengine Ark API |
| Limits | |||
| Context window | 128,000 tokens | 204,800 tokens | 262,144 tokens (best) |
| Max output | 32,768 tokens | 131,072 tokens (best) | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | Yes | No | Yes |
| Reasoning | Yes | Yes | Yesminimal · low · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | glm-4.6v | MiniMax-M2.5-highspeed | doubao-seed-2-0-code-preview-260215 |
| API providers | 10 (best) | 7 | 10 (best) |
| Released | Dec 8, 2025 | Feb 13, 2026 | Feb 14, 2026 |
| Knowledge cutoff | Apr 2025 | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GLM-4.6V$4.80
- MiniMax-M2.5-highspeed$10.80
- Seed 2.0 Code$9.50
Which should you choose?
Which is better: GLM-4.6V, MiniMax-M2.5-highspeed or Seed 2.0 Code?
It is close. Our weighted score puts them within 2 points (GLM-4.6V 59/100, Seed 2.0 Code 57/100, MiniMax-M2.5-highspeed 41/100), so choose by what matters most for your work: GLM-4.6V on price and Seed 2.0 Code for long inputs. 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-4.6V, MiniMax-M2.5-highspeed or Seed 2.0 Code?
GLM-4.6V is cheaper at $0.30 input / $0.90 output per million tokens (official Z.AI API price). Seed 2.0 Code costs $0.475 input / $2.37 output per million tokens (official Volcengine Ark API price); MiniMax-M2.5-highspeed costs $0.60 input / $2.40 output per million tokens (official MiniMax (minimax.io) API price). At a typical mix of three input tokens to one output token, that is $0.45 per million tokens for GLM-4.6V versus $0.95 for Seed 2.0 Code (2.1× as much) and $1.05 for MiniMax-M2.5-highspeed (2.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GLM-4.6V has not been scored yet, MiniMax-M2.5-highspeed has not been scored yet and Seed 2.0 Code has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-4.6V, MiniMax-M2.5-highspeed and Seed 2.0 Code 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?
Seed 2.0 Code has the largest context window at 262,144 tokens, against 204,800 for MiniMax-M2.5-highspeed and 128,000 for GLM-4.6V. Maximum output per response: GLM-4.6V up to 32,768, MiniMax-M2.5-highspeed up to 131,072, Seed 2.0 Code up to 131,072 tokens.
Which can read images, PDFs, audio or video?
GLM-4.6V accepts text, images and video; MiniMax-M2.5-highspeed accepts text; Seed 2.0 Code accepts text, images and video. GLM-4.6V handles the widest range of inputs.
Are any of these open source?
GLM-4.6V and MiniMax-M2.5-highspeed publishes its weights and can be self-hosted; Seed 2.0 Code is proprietary.
Which is newer?
Seed 2.0 Code is the newest, released Feb 14, 2026. MiniMax-M2.5-highspeed came out Feb 13, 2026; GLM-4.6V came out Dec 8, 2025. Knowledge cutoff: GLM-4.6V Apr 2025.
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.
