Grok 4.20 (Non-Reasoning) vs GPT-5.4 mini vs GLM-5-Turbo
Grok 4.20 (Non-Reasoning) comes out ahead, 53 to 49 and 38 on our weighted score, and it is the cheaper option too.
- Our pick
xAIGrok 4.20 (Non-Reasoning)
53/100- ECI—
- Price$1.25 / $2.50
- Context1M
OpenAIGPT-5.4 mini
49/100- ECI148.8
- Price$0.75 / $4.50
- Context400K
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 GPT-5.4 mini (49) and GLM-5-Turbo (38). It leads on context window. 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 (Non-Reasoning)Grok 4.20 (Non-Reasoning) $1.56 · GPT-5.4 mini $1.69 · GLM-5-Turbo $1.90 per 1M tokens (3:1 blend)
- Longest contextGrok 4.20 (Non-Reasoning)Grok 4.20 (Non-Reasoning) 1,000,000 · GPT-5.4 mini 400,000 · GLM-5-Turbo 200,000 tokens
- Widest inputsGrok 4.20 (Non-Reasoning)Grok 4.20 (Non-Reasoning): Text, Images, PDFs · GPT-5.4 mini: Text, Images · GLM-5-Turbo: Text
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Grok 4.20 (Non-Reasoning) | GPT-5.4 mini | GLM-5-Turbo |
|---|---|---|---|---|
| Price | 50% | 41 | 39 | 37 |
| Inputs & features | 30% | 70 | 70 | 45 |
| Context window | 20% | 60 | 44 | 32 |
| Overall | 100% | 53/100 | 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 (Non-Reasoning)xAI | GPT-5.4 miniOpenAI | GLM-5-TurboZ.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 148.8 | — |
| ECI rank | — | #56 of 148 | — |
| GPQA DiamondGraduate-level science questions | — | 86.9% | — |
| FrontierMath Tiers 1–3Research-level mathematics | — | 51.2% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 88.9% | — |
| SimpleQA VerifiedShort factual questions | — | 29.4% | — |
| Price per million tokens | |||
| Input | $1.25 | $0.75 (best) | $1.20 |
| Output | $2.50 (best) | $4.50 | $4.00 |
| Cached input | $0.20 | $0.075 (best) | $0.24 |
| Blended (3:1) | $1.56 (best) | $1.69 | $1.90 |
| Long-context rate | Over 200K: $2.50 / $5.00 | Same rate | Same rate |
| Price source | Official xAI API | Official OpenAI API | Official Z.AI API |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 400,000 tokens | 200,000 tokens |
| Max output | 30,000 tokens | 128,000 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yeslow · medium · high · xhigh | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | grok-4.20-0309-non-reasoning | gpt-5.4-mini | glm-5-turbo |
| API providers | 10 | 29 (best) | 17 |
| Released | Mar 9, 2026 | Mar 17, 2026 | Mar 16, 2026 |
| Knowledge cutoff | — | Aug 31, 2025 | — |
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 (Non-Reasoning)$17.50
- GPT-5.4 mini$16.50
- GLM-5-Turbo$20.00
Which should you choose?
Which is better: Grok 4.20 (Non-Reasoning), GPT-5.4 mini or GLM-5-Turbo?
Grok 4.20 (Non-Reasoning) is the better all-round choice, scoring 53/100 against GPT-5.4 mini (49) and GLM-5-Turbo (38). It leads on context window. 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 (Non-Reasoning), GPT-5.4 mini or GLM-5-Turbo?
Grok 4.20 (Non-Reasoning) is cheaper at $1.25 input / $2.50 output per million tokens (official xAI API price). GPT-5.4 mini costs $0.75 input / $4.50 output per million tokens (official OpenAI 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 (Non-Reasoning) versus $1.69 for GPT-5.4 mini (1.1× 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 (Non-Reasoning) has not been scored yet, GPT-5.4 mini has an ECI of 148.8 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 (Non-Reasoning), GPT-5.4 mini and GLM-5-Turbo 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?
Grok 4.20 (Non-Reasoning) has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5.4 mini and 200,000 for GLM-5-Turbo. Maximum output per response: Grok 4.20 (Non-Reasoning) up to 30,000, GPT-5.4 mini up to 128,000, GLM-5-Turbo up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Grok 4.20 (Non-Reasoning) accepts text, images and PDFs; GPT-5.4 mini accepts text and images; GLM-5-Turbo accepts text. Grok 4.20 (Non-Reasoning) handles the widest range of inputs.
Are any of these open source?
No. Grok 4.20 (Non-Reasoning), GPT-5.4 mini and GLM-5-Turbo are proprietary and only available through APIs and apps.
Which is newer?
GPT-5.4 mini is the newest, released Mar 17, 2026. GLM-5-Turbo came out Mar 16, 2026; Grok 4.20 (Non-Reasoning) came out Mar 9, 2026. Knowledge cutoff: GPT-5.4 mini Aug 31, 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.
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