Grok 4.1 Fast vs GLM-4.7-FlashX vs Ministral 3 14B
Grok 4.1 Fast comes out ahead, 71 to 63 and 61 on our weighted score, though GLM-4.7-FlashX is 45% cheaper per token.
- Our pick
xAIGrok 4.1 Fast
71/100- ECI—
- Price$0.20 / $0.50
- Context2M
Z.ai (Zhipu)GLM-4.7-FlashX
61/100- ECI—
- Price$0.07 / $0.40
- Context200K
Mistral AIMinistral 3 14B
63/100- ECI—
- Price$0.268 / $0.325
- Context262K
Grok 4.1 Fast is our pick
Grok 4.1 Fast is the better all-round choice, scoring 71/100 against Ministral 3 14B (63) and GLM-4.7-FlashX (61). It leads on context window. GLM-4.7-FlashX wins on price. 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-4.7-FlashXGLM-4.7-FlashX $0.152 · Grok 4.1 Fast $0.275 · Ministral 3 14B $0.282 per 1M tokens (3:1 blend)
- Longest contextGrok 4.1 FastGrok 4.1 Fast 2,000,000 · Ministral 3 14B 262,144 · GLM-4.7-FlashX 200,000 tokens
- Widest inputsGrok 4.1 Fast and Ministral 3 14BGrok 4.1 Fast: Text, Images · GLM-4.7-FlashX: Text · Ministral 3 14B: Text, Images
- Self-hostingGLM-4.7-FlashX and Ministral 3 14BPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Grok 4.1 Fast | GLM-4.7-FlashX | Ministral 3 14B |
|---|---|---|---|---|
| Price | 50% | 76 | 89 | 76 |
| Inputs & features | 30% | 60 | 35 | 60 |
| Context window | 20% | 72 | 32 | 37 |
| Overall | 100% | 71/100 | 61/100 | 63/100 |
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 4.1 FastxAI | GLM-4.7-FlashXZ.ai (Zhipu) | Ministral 3 14BMistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.20 | $0.07 (best) | $0.268 |
| Output | $0.50 | $0.40 | $0.325 (best) |
| Cached input | — | $0.01 | — |
| Blended (3:1) | $0.275 | $0.152 (best) | $0.282 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official Z.AI API | Median of 2 providers |
| Limits | |||
| Context window | 2,000,000 tokens (best) | 200,000 tokens | 262,144 tokens |
| Max output | 30,000 tokens | 131,072 tokens | 262,144 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Proprietary | Open | OpenApache 2.0 |
| API model ID | — | glm-4.7-flashx | — |
| API providers | 2 | 8 (best) | 2 |
| Released | Nov 19, 2025 | Jan 19, 2026 | Dec 2, 2025 |
| 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.
- Grok 4.1 Fast$3.00
- GLM-4.7-FlashX$1.50
- Ministral 3 14B$3.33
Which should you choose?
Which is better: Grok 4.1 Fast, GLM-4.7-FlashX or Ministral 3 14B?
Grok 4.1 Fast is the better all-round choice, scoring 71/100 against Ministral 3 14B (63) and GLM-4.7-FlashX (61). It leads on context window. GLM-4.7-FlashX wins on price. 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 4.1 Fast, GLM-4.7-FlashX or Ministral 3 14B?
GLM-4.7-FlashX is cheaper at $0.07 input / $0.40 output per million tokens (official Z.AI API price). Grok 4.1 Fast costs $0.20 input / $0.50 output per million tokens (median across 2 API providers); Ministral 3 14B costs $0.268 input / $0.325 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.152 per million tokens for GLM-4.7-FlashX versus $0.275 for Grok 4.1 Fast (1.8× as much) and $0.282 for Ministral 3 14B (1.9× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Grok 4.1 Fast has not been scored yet, GLM-4.7-FlashX has not been scored yet and Ministral 3 14B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Grok 4.1 Fast, GLM-4.7-FlashX and Ministral 3 14B 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 4.1 Fast has the largest context window at 2,000,000 tokens, against 262,144 for Ministral 3 14B and 200,000 for GLM-4.7-FlashX. Maximum output per response: Grok 4.1 Fast up to 30,000, GLM-4.7-FlashX up to 131,072, Ministral 3 14B up to 262,144 tokens.
Which can read images, PDFs, audio or video?
Grok 4.1 Fast accepts text and images; GLM-4.7-FlashX accepts text; Ministral 3 14B accepts text and images. Grok 4.1 Fast handles the widest range of inputs.
Are any of these open source?
GLM-4.7-FlashX and Ministral 3 14B publishes its weights (Apache 2.0) and can be self-hosted; Grok 4.1 Fast is proprietary.
Which is newer?
GLM-4.7-FlashX is the newest, released Jan 19, 2026. Ministral 3 14B came out Dec 2, 2025; Grok 4.1 Fast came out Nov 19, 2025. Knowledge cutoff: GLM-4.7-FlashX 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.
