Ministral 8B Instruct vs Phi-4-mini
Too close to call on our weighted score (Phi-4-mini 58, Ministral 8B Instruct 57). The right pick depends on what you value most.
Mistral AIMinistral 8B Instruct
57/100- ECI—
- Price$0.15 / $0.15
- Context131K
MicrosoftPhi-4-mini
58/100- ECI—
- Price$0.075 / $0.30
- Context128K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 1 points (Phi-4-mini 58/100, Ministral 8B Instruct 57/100), so choose by what matters most for your work: Phi-4-mini on price and Ministral 8B Instruct 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 pricePhi-4-miniPhi-4-mini $0.131 · Ministral 8B Instruct $0.15 per 1M tokens (3:1 blend)
- Longest contextMinistral 8B InstructMinistral 8B Instruct 131,072 · Phi-4-mini 128,000 tokens
- Widest inputsSame inputsMinistral 8B Instruct: Text · Phi-4-mini: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Ministral 8B Instruct | Phi-4-mini |
|---|---|---|---|
| Price | 50% | 89 | 92 |
| Inputs & features | 30% | 25 | 25 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 57/100 | 58/100 |
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 8B InstructMistral AI | Phi-4-miniMicrosoft |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| GPQA DiamondGraduate-level science questions | 27.2% | — |
| Price per million tokens | ||
| Input | $0.15 | $0.075 (best) |
| Output | $0.15 (best) | $0.30 |
| Cached input | — | — |
| Blended (3:1) | $0.15 | $0.131 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Official Azure API |
| Limits | ||
| Context window | 131,072 tokens (best) | 128,000 tokens |
| Max output | 8,192 tokens (best) | 4,096 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | OpenMistral Research License | Open |
| API model ID | — | phi-4-mini |
| API providers | 1 | 1 |
| Released | Oct 16, 2024 | Dec 11, 2024 |
| Knowledge cutoff | — | Oct 2023 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Ministral 8B Instruct$1.80
- Phi-4-mini$1.35
Which should you choose?
Which is better: Ministral 8B Instruct or Phi-4-mini?
It is close. Our weighted score puts them within 1 points (Phi-4-mini 58/100, Ministral 8B Instruct 57/100), so choose by what matters most for your work: Phi-4-mini on price and Ministral 8B Instruct 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 8B Instruct or Phi-4-mini?
Phi-4-mini is cheaper at $0.075 input / $0.30 output per million tokens (official Azure API price). Ministral 8B Instruct costs $0.15 input / $0.15 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.131 per million tokens for Phi-4-mini versus $0.15 for Ministral 8B Instruct (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Ministral 8B Instruct has not been scored yet and Phi-4-mini has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Ministral 8B Instruct and Phi-4-mini yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Ministral 8B Instruct has the largest context window at 131,072 tokens, against 128,000 for Phi-4-mini. Maximum output per response: Ministral 8B Instruct up to 8,192, Phi-4-mini up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Ministral 8B Instruct accepts text; Phi-4-mini accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights (Mistral Research License), so you can self-host them.
Which is newer?
Phi-4-mini is the newest, released Dec 11, 2024. Ministral 8B Instruct came out Oct 16, 2024. Knowledge cutoff: Phi-4-mini Oct 2023.
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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