Ministral 3 8B vs Grok 4.1 Fast vs GLM-4.7-FlashX
Too close to call on our weighted score (Grok 4.1 Fast 71, Ministral 3 8B 70, GLM-4.7-FlashX 61). The right pick depends on what you value most.
Mistral AIMinistral 3 8B
70/100- ECI—
- Price$0.15 / $0.15
- Context262K
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
Too close to call
It is close. Our weighted score puts them within a point (Grok 4.1 Fast 71/100, Ministral 3 8B 70/100, GLM-4.7-FlashX 61/100), so choose by what matters most for your work: Ministral 3 8B on price and Grok 4.1 Fast 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 priceMinistral 3 8BMinistral 3 8B $0.15 · GLM-4.7-FlashX $0.152 · Grok 4.1 Fast $0.275 per 1M tokens (3:1 blend)
- Longest contextGrok 4.1 FastGrok 4.1 Fast 2,000,000 · Ministral 3 8B 262,144 · GLM-4.7-FlashX 200,000 tokens
- Widest inputsMinistral 3 8B and Grok 4.1 FastMinistral 3 8B: Text, Images · Grok 4.1 Fast: Text, Images · GLM-4.7-FlashX: Text
- Self-hostingMinistral 3 8B and GLM-4.7-FlashXPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Ministral 3 8B | Grok 4.1 Fast | GLM-4.7-FlashX |
|---|---|---|---|---|
| Price | 50% | 89 | 76 | 89 |
| Inputs & features | 30% | 60 | 60 | 35 |
| Context window | 20% | 37 | 72 | 32 |
| Overall | 100% | 70/100 | 71/100 | 61/100 |
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 | Ministral 3 8BMistral AI | Grok 4.1 FastxAI | GLM-4.7-FlashXZ.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.15 | $0.20 | $0.07 (best) |
| Output | $0.15 (best) | $0.50 | $0.40 |
| Cached input | — | — | $0.01 |
| Blended (3:1) | $0.15 (best) | $0.275 | $0.152 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 2 providers | Official Z.AI API |
| Limits | |||
| Context window | 262,144 tokens | 2,000,000 tokens (best) | 200,000 tokens |
| Max output | 262,144 tokens (best) | 30,000 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | OpenApache 2.0 | Proprietary | Open |
| API model ID | — | — | glm-4.7-flashx |
| API providers | 1 | 2 | 8 (best) |
| Released | Dec 2, 2025 | Nov 19, 2025 | Jan 19, 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.
- Ministral 3 8B$1.80
- Grok 4.1 Fast$3.00
- GLM-4.7-FlashX$1.50
Which should you choose?
Which is better: Ministral 3 8B, Grok 4.1 Fast or GLM-4.7-FlashX?
It is close. Our weighted score puts them within a point (Grok 4.1 Fast 71/100, Ministral 3 8B 70/100, GLM-4.7-FlashX 61/100), so choose by what matters most for your work: Ministral 3 8B on price and Grok 4.1 Fast 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, Ministral 3 8B, Grok 4.1 Fast or GLM-4.7-FlashX?
Ministral 3 8B is cheaper at $0.15 input / $0.15 output per million tokens (median across 1 API provider). GLM-4.7-FlashX costs $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). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Ministral 3 8B versus $0.152 for GLM-4.7-FlashX (1× as much) and $0.275 for Grok 4.1 Fast (1.8× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Ministral 3 8B has not been scored yet, Grok 4.1 Fast has not been scored yet and GLM-4.7-FlashX has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Ministral 3 8B, Grok 4.1 Fast and GLM-4.7-FlashX 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 8B and 200,000 for GLM-4.7-FlashX. Maximum output per response: Ministral 3 8B up to 262,144, Grok 4.1 Fast up to 30,000, GLM-4.7-FlashX up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Ministral 3 8B accepts text and images; Grok 4.1 Fast accepts text and images; GLM-4.7-FlashX accepts text. Ministral 3 8B handles the widest range of inputs.
Are any of these open source?
Ministral 3 8B and GLM-4.7-FlashX 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 8B 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.
