Grok 4.20 Multi-Agent vs GLM-5V-Turbo vs GLM-5-Turbo
Too close to call on our weighted score (Grok 4.20 Multi-Agent 49, GLM-5V-Turbo 49, GLM-5-Turbo 38). The right pick depends on what you value most.
xAIGrok 4.20 Multi-Agent
49/100- ECI—
- Price$1.25 / $2.50
- Context1M
Z.ai (Zhipu)GLM-5V-Turbo
49/100- ECI—
- Price$1.20 / $4.00
- Context200K
- Z.ai (Zhipu)
GLM-5-Turbo
38/100- ECI—
- Price$1.20 / $4.00
- Context200K
Too close to call
It is close. Our weighted score puts them within a point (Grok 4.20 Multi-Agent 49/100, GLM-5V-Turbo 49/100, GLM-5-Turbo 38/100), so choose by what matters most for your work: Grok 4.20 Multi-Agent on price and Grok 4.20 Multi-Agent 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 priceGrok 4.20 Multi-AgentGrok 4.20 Multi-Agent $1.56 · GLM-5V-Turbo $1.90 · GLM-5-Turbo $1.90 per 1M tokens (3:1 blend)
- Longest contextGrok 4.20 Multi-AgentGrok 4.20 Multi-Agent 1,000,000 · GLM-5V-Turbo 200,000 · GLM-5-Turbo 200,000 tokens
- Widest inputsGLM-5V-TurboGrok 4.20 Multi-Agent: Text, Images, PDFs · GLM-5V-Turbo: Text, Images, PDFs, Video · GLM-5-Turbo: Text
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Grok 4.20 Multi-Agent | GLM-5V-Turbo | GLM-5-Turbo |
|---|---|---|---|---|
| Price | 50% | 41 | 37 | 37 |
| Inputs & features | 30% | 55 | 80 | 45 |
| Context window | 20% | 60 | 32 | 32 |
| Overall | 100% | 49/100 | 49/100 | 38/100 |
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 | Grok 4.20 Multi-AgentxAI | GLM-5V-TurboZ.ai (Zhipu) | GLM-5-TurboZ.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.25 | $1.20 (best) | $1.20 (best) |
| Output | $2.50 (best) | $4.00 | $4.00 |
| Cached input | $0.20 (best) | $0.24 | $0.24 |
| Blended (3:1) | $1.56 (best) | $1.90 | $1.90 |
| Long-context rate | Over 200K: $2.50 / $5.00 | Same rate | Same rate |
| Price source | Official xAI API | Official Z.AI API | Official Z.AI API |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 200,000 tokens | 200,000 tokens |
| Max output | 30,000 tokens | 131,072 tokens (best) | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | Yes | No |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | Yeslow · medium · high · xhigh | Yes | Yes |
| Tool calling | No | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | grok-4.20-multi-agent-0309 | glm-5v-turbo | glm-5-turbo |
| API providers | 1 | 14 | 17 (best) |
| Released | Mar 9, 2026 | Apr 1, 2026 | Mar 16, 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.
- Grok 4.20 Multi-Agent$17.50
- GLM-5V-Turbo$20.00
- GLM-5-Turbo$20.00
Which should you choose?
Which is better: Grok 4.20 Multi-Agent, GLM-5V-Turbo or GLM-5-Turbo?
It is close. Our weighted score puts them within a point (Grok 4.20 Multi-Agent 49/100, GLM-5V-Turbo 49/100, GLM-5-Turbo 38/100), so choose by what matters most for your work: Grok 4.20 Multi-Agent on price and Grok 4.20 Multi-Agent 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, Grok 4.20 Multi-Agent, GLM-5V-Turbo or GLM-5-Turbo?
Grok 4.20 Multi-Agent is cheaper at $1.25 input / $2.50 output per million tokens (official xAI API price). GLM-5V-Turbo costs $1.20 input / $4.00 output per million tokens (official Z.AI 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 $1.56 per million tokens for Grok 4.20 Multi-Agent versus $1.90 for GLM-5V-Turbo (1.2× as much) and $1.90 for GLM-5-Turbo (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Grok 4.20 Multi-Agent has not been scored yet, GLM-5V-Turbo has not been scored yet and GLM-5-Turbo has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Grok 4.20 Multi-Agent, GLM-5V-Turbo and GLM-5-Turbo yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Grok 4.20 Multi-Agent does not support tool calling, which most coding agents need.
Which has the bigger context window?
Grok 4.20 Multi-Agent has the largest context window at 1,000,000 tokens, against 200,000 for GLM-5V-Turbo and 200,000 for GLM-5-Turbo. Maximum output per response: Grok 4.20 Multi-Agent up to 30,000, GLM-5V-Turbo up to 131,072, GLM-5-Turbo up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Grok 4.20 Multi-Agent accepts text, images and PDFs; GLM-5V-Turbo accepts text, images, PDFs and video; GLM-5-Turbo accepts text. GLM-5V-Turbo handles the widest range of inputs.
Are any of these open source?
No. Grok 4.20 Multi-Agent, GLM-5V-Turbo and GLM-5-Turbo are proprietary and only available through APIs and apps.
Which is newer?
GLM-5V-Turbo is the newest, released Apr 1, 2026. GLM-5-Turbo came out Mar 16, 2026; Grok 4.20 Multi-Agent came out Mar 9, 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.
