Ministral 8B Instruct vs Mistral Small 3.2 vs Llama-3.1-8B-Instruct
Mistral Small 3.2 comes out ahead, 57 to 42 and 42 on our weighted score.
Mistral AI
Ministral 8B Instruct
42/100- ECI—
- Price$0.15 / $0.15
- Context131K
- Our pick
Mistral AI
Mistral Small 3.2
57/100- ECI131.7
- Price$0.10 / $0.30
- Context128K
Meta
Llama-3.1-8B-Instruct
42/100- ECI116.6
- Price$0.152 / $0.167
- Context128K
Mistral Small 3.2 is our pick
Mistral Small 3.2 is the better all-round choice, scoring 57/100 against Ministral 8B Instruct (42) and Llama-3.1-8B-Instruct (42). It leads on capability and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond), because Ministral 8B Instruct has no Capabilities Index score yet.
- CapabilityMistral Small 3.2Shared benchmarks: Mistral Small 3.2 49.1% · Ministral 8B Instruct 27.2% · Llama-3.1-8B-Instruct 27.0%
- Lowest priceMinistral 8B Instruct and Mistral Small 3.2Ministral 8B Instruct $0.15 · Mistral Small 3.2 $0.15 · Llama-3.1-8B-Instruct $0.156 per 1M tokens (3:1 blend)
- Longest contextMinistral 8B InstructMinistral 8B Instruct 131,072 · Mistral Small 3.2 128,000 · Llama-3.1-8B-Instruct 128,000 tokens
- Widest inputsMistral Small 3.2Ministral 8B Instruct: Text · Mistral Small 3.2: Text, Images · Llama-3.1-8B-Instruct: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Ministral 8B Instruct | Mistral Small 3.2 | Llama-3.1-8B-Instruct |
|---|---|---|---|---|
| CapabilityShared benchmarks | 50% | 27 | 49 | 27 |
| Price | 25% | 89 | 89 | 88 |
| Inputs & features | 15% | 25 | 50 | 25 |
| Context window | 10% | 24 | 24 | 24 |
| Overall | 100% | 42/100 | 57/100 | 42/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 131.7 (best) | 116.6 |
| ECI rank | — | #123 of 148 (best) | #145 of 148 |
| GPQA DiamondGraduate-level science questions | 27.2% | 49.1% (best) | 27.0% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 30.3% (best) | 1.7% |
| Price per million tokens | |||
| Input | $0.15 | $0.10 (best) | $0.152 |
| Output | $0.15 (best) | $0.30 | $0.167 |
| Cached input | — | — | — |
| Blended (3:1) | $0.15 (best) | $0.15 (best) | $0.156 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 1 providers | Official Mistral API | Median of 9 providers |
| Limits | |||
| Context window | 131,072 tokens (best) | 128,000 tokens | 128,000 tokens |
| Max output | 8,192 tokens | 16,384 tokens (best) | 4,096 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenMistral Research License | Open | Open |
| API model ID | — | mistral-small-2506 | — |
| API providers | 1 | 6 | 9 (best) |
| Released | Oct 16, 2024 | Jun 20, 2025 | Jul 23, 2024 |
| Knowledge cutoff | — | Mar 2025 | Dec 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
Mistral Small 3.2$1.60
Llama-3.1-8B-Instruct$1.85
Which should you choose?
Which is better: Ministral 8B Instruct, Mistral Small 3.2 or Llama-3.1-8B-Instruct?
Mistral Small 3.2 is the better all-round choice, scoring 57/100 against Ministral 8B Instruct (42) and Llama-3.1-8B-Instruct (42). It leads on capability and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond), because Ministral 8B Instruct has no Capabilities Index score yet.
Which is cheaper, Ministral 8B Instruct, Mistral Small 3.2 or Llama-3.1-8B-Instruct?
Ministral 8B Instruct is cheaper at $0.15 input / $0.15 output per million tokens (median across 1 API provider). Mistral Small 3.2 costs $0.10 input / $0.30 output per million tokens (official Mistral API price); Llama-3.1-8B-Instruct costs $0.152 input / $0.167 output per million tokens (median across 9 API providers). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Ministral 8B Instruct versus $0.15 for Mistral Small 3.2 (1× as much) and $0.156 for Llama-3.1-8B-Instruct (1× as much).
Which scores higher on benchmarks?
Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond): Mistral Small 3.2 49.1%, Ministral 8B Instruct 27.2% and Llama-3.1-8B-Instruct 27.0%. On individual benchmarks: GPQA Diamond — Mistral Small 3.2 49.1%, Ministral 8B Instruct 27.2%, Llama-3.1-8B-Instruct 27.0%.
Which is better for coding?
There are no published SWE-bench Verified results for Ministral 8B Instruct, Mistral Small 3.2 and Llama-3.1-8B-Instruct yet, so there is no like-for-like coding score. On overall capability, Mistral Small 3.2 leads, which tends to carry over to coding, but test on your own codebase. All three 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 Mistral Small 3.2 and 128,000 for Llama-3.1-8B-Instruct. Maximum output per response: Ministral 8B Instruct up to 8,192, Mistral Small 3.2 up to 16,384, Llama-3.1-8B-Instruct up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Ministral 8B Instruct accepts text; Mistral Small 3.2 accepts text and images; Llama-3.1-8B-Instruct accepts text. Mistral Small 3.2 handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (Mistral Research License), so you can self-host them.
Which is newer?
Mistral Small 3.2 is the newest, released Jun 20, 2025. Ministral 8B Instruct came out Oct 16, 2024; Llama-3.1-8B-Instruct came out Jul 23, 2024. Knowledge cutoff: Mistral Small 3.2 Mar 2025, Llama-3.1-8B-Instruct Dec 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.