Grok 4.20 Multi-Agent vs Grok 4.20 (Non-Reasoning) vs GLM-5-Turbo
Grok 4.20 (Non-Reasoning) comes out ahead, 53 to 49 and 38 on our weighted score.
xAIGrok 4.20 Multi-Agent
49/100- ECI—
- Price$1.25 / $2.50
- Context1M
- Our pickxAI
Grok 4.20 (Non-Reasoning)
53/100- ECI—
- Price$1.25 / $2.50
- Context1M
Z.ai (Zhipu)GLM-5-Turbo
38/100- ECI—
- Price$1.20 / $4.00
- Context200K
Grok 4.20 (Non-Reasoning) is our pick
Grok 4.20 (Non-Reasoning) is the better all-round choice, scoring 53/100 against Grok 4.20 Multi-Agent (49) and GLM-5-Turbo (38). 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 priceGrok 4.20 Multi-Agent and Grok 4.20 (Non-Reasoning)Grok 4.20 Multi-Agent $1.56 · Grok 4.20 (Non-Reasoning) $1.56 · GLM-5-Turbo $1.90 per 1M tokens (3:1 blend)
- Longest contextGrok 4.20 Multi-Agent and Grok 4.20 (Non-Reasoning)Grok 4.20 Multi-Agent 1,000,000 · Grok 4.20 (Non-Reasoning) 1,000,000 · GLM-5-Turbo 200,000 tokens
- Widest inputsGrok 4.20 Multi-Agent and Grok 4.20 (Non-Reasoning)Grok 4.20 Multi-Agent: Text, Images, PDFs · Grok 4.20 (Non-Reasoning): Text, Images, PDFs · GLM-5-Turbo: Text
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Grok 4.20 Multi-Agent | Grok 4.20 (Non-Reasoning) | GLM-5-Turbo |
|---|---|---|---|---|
| Price | 50% | 41 | 41 | 37 |
| Inputs & features | 30% | 55 | 70 | 45 |
| Context window | 20% | 60 | 60 | 32 |
| Overall | 100% | 49/100 | 53/100 | 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 | Grok 4.20 (Non-Reasoning)xAI | GLM-5-TurboZ.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.25 | $1.25 | $1.20 (best) |
| Output | $2.50 (best) | $2.50 (best) | $4.00 |
| Cached input | $0.20 (best) | $0.20 (best) | $0.24 |
| Blended (3:1) | $1.56 (best) | $1.56 (best) | $1.90 |
| Long-context rate | Over 200K: $2.50 / $5.00 | Over 200K: $2.50 / $5.00 | Same rate |
| Price source | Official xAI API | Official xAI API | Official Z.AI API |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 1,000,000 tokens (best) | 200,000 tokens |
| Max output | 30,000 tokens | 30,000 tokens | 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 | No | No |
| Reasoning | Yeslow · medium · high · xhigh | No | Yes |
| Tool calling | No | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | grok-4.20-multi-agent-0309 | grok-4.20-0309-non-reasoning | glm-5-turbo |
| API providers | 1 | 10 | 17 (best) |
| Released | Mar 9, 2026 | Mar 9, 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
- Grok 4.20 (Non-Reasoning)$17.50
- GLM-5-Turbo$20.00
Which should you choose?
Which is better: Grok 4.20 Multi-Agent, Grok 4.20 (Non-Reasoning) or GLM-5-Turbo?
Grok 4.20 (Non-Reasoning) is the better all-round choice, scoring 53/100 against Grok 4.20 Multi-Agent (49) and GLM-5-Turbo (38). 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, Grok 4.20 Multi-Agent, Grok 4.20 (Non-Reasoning) 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). Grok 4.20 (Non-Reasoning) costs $1.25 input / $2.50 output per million tokens (official xAI 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 $1.56 for Grok 4.20 (Non-Reasoning) (1× 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, Grok 4.20 (Non-Reasoning) 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, Grok 4.20 (Non-Reasoning) 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 and Grok 4.20 (Non-Reasoning) have the largest context windows (1,000,000 and 1,000,000 tokens), against 200,000 for GLM-5-Turbo. Maximum output per response: Grok 4.20 Multi-Agent up to 30,000, Grok 4.20 (Non-Reasoning) up to 30,000, 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; Grok 4.20 (Non-Reasoning) accepts text, images and PDFs; GLM-5-Turbo accepts text. Grok 4.20 Multi-Agent handles the widest range of inputs.
Are any of these open source?
No. Grok 4.20 Multi-Agent, Grok 4.20 (Non-Reasoning) and GLM-5-Turbo are proprietary and only available through APIs and apps.
Which is newer?
GLM-5-Turbo is the newest, released Mar 16, 2026. Grok 4.20 Multi-Agent came out Mar 9, 2026; Grok 4.20 (Non-Reasoning) 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.
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