Llama-3.1-8B-Instruct vs Llama 4 Scout 17B Instruct vs Ministral 8B Instruct
Llama 4 Scout 17B Instruct comes out ahead, 61 to 42 and 42 on our weighted score, though Ministral 8B Instruct is 2.3× cheaper per token.
MetaLlama-3.1-8B-Instruct
42/100- ECI116.6
- Price$0.152 / $0.167
- Context128K
- Our pickMeta
Llama 4 Scout 17B Instruct
61/100- ECI129.7
- Price$0.225 / $0.69
- Context10M
Mistral AIMinistral 8B Instruct
42/100- ECI—
- Price$0.15 / $0.15
- Context131K
Llama 4 Scout 17B Instruct is our pick
Llama 4 Scout 17B Instruct is the better all-round choice, scoring 61/100 against Ministral 8B Instruct (42) and Llama-3.1-8B-Instruct (42). It leads on capability, inputs & features and context window. 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.
- CapabilityLlama 4 Scout 17B InstructShared benchmarks: Llama 4 Scout 17B Instruct 51.8% · Ministral 8B Instruct 27.2% · Llama-3.1-8B-Instruct 27.0%
- Lowest priceMinistral 8B InstructMinistral 8B Instruct $0.15 · Llama-3.1-8B-Instruct $0.156 · Llama 4 Scout 17B Instruct $0.341 per 1M tokens (3:1 blend)
- Longest contextLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct 10,000,000 · Ministral 8B Instruct 131,072 · Llama-3.1-8B-Instruct 128,000 tokens
- Widest inputsLlama 4 Scout 17B InstructLlama-3.1-8B-Instruct: Text · Llama 4 Scout 17B Instruct: Text, Images · Ministral 8B Instruct: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Llama-3.1-8B-Instruct | Llama 4 Scout 17B Instruct | Ministral 8B Instruct |
|---|---|---|---|---|
| CapabilityShared benchmarks | 50% | 27 | 52 | 27 |
| Price | 25% | 88 | 72 | 89 |
| Inputs & features | 15% | 25 | 50 | 25 |
| Context window | 10% | 24 | 100 | 24 |
| Overall | 100% | 42/100 | 61/100 | 42/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Llama-3.1-8B-InstructMeta | Llama 4 Scout 17B InstructMeta | Ministral 8B InstructMistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 116.6 | 129.7 (best) | — |
| ECI rank | #145 of 148 | #126 of 148 (best) | — |
| GPQA DiamondGraduate-level science questions | 27.0% | 51.8% (best) | 27.2% |
| OTIS Mock AIME 2024–2025Competition mathematics | 1.7% | 7.8% (best) | — |
| Price per million tokens | |||
| Input | $0.152 | $0.225 | $0.15 (best) |
| Output | $0.167 | $0.69 | $0.15 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.156 | $0.341 | $0.15 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 9 providers | Median of 4 providers | Median of 1 providers |
| Limits | |||
| Context window | 128,000 tokens | 10,000,000 tokens (best) | 131,072 tokens |
| Max output | 4,096 tokens | 16,384 tokens (best) | 8,192 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 | Open | Open | OpenMistral Research License |
| API model ID | — | — | — |
| API providers | 9 (best) | 4 | 1 |
| Released | Jul 23, 2024 | Apr 5, 2025 | Oct 16, 2024 |
| Knowledge cutoff | Dec 2023 | Aug 2024 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Llama-3.1-8B-Instruct$1.85
- Llama 4 Scout 17B Instruct$3.63
- Ministral 8B Instruct$1.80
Which should you choose?
Which is better: Llama-3.1-8B-Instruct, Llama 4 Scout 17B Instruct or Ministral 8B Instruct?
Llama 4 Scout 17B Instruct is the better all-round choice, scoring 61/100 against Ministral 8B Instruct (42) and Llama-3.1-8B-Instruct (42). It leads on capability, inputs & features and context window. 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, Llama-3.1-8B-Instruct, Llama 4 Scout 17B Instruct or Ministral 8B Instruct?
Ministral 8B Instruct is cheaper at $0.15 input / $0.15 output per million tokens (median across 1 API provider). Llama-3.1-8B-Instruct costs $0.152 input / $0.167 output per million tokens (median across 9 API providers); Llama 4 Scout 17B Instruct costs $0.225 input / $0.69 output per million tokens (median across 4 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 $0.156 for Llama-3.1-8B-Instruct (1× as much) and $0.341 for Llama 4 Scout 17B Instruct (2.3× 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): Llama 4 Scout 17B Instruct 51.8%, Ministral 8B Instruct 27.2% and Llama-3.1-8B-Instruct 27.0%. On individual benchmarks: GPQA Diamond — Llama 4 Scout 17B Instruct 51.8%, 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 Llama-3.1-8B-Instruct, Llama 4 Scout 17B Instruct and Ministral 8B Instruct yet, so there is no like-for-like coding score. On overall capability, Llama 4 Scout 17B Instruct 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?
Llama 4 Scout 17B Instruct has the largest context window at 10,000,000 tokens, against 131,072 for Ministral 8B Instruct and 128,000 for Llama-3.1-8B-Instruct. Maximum output per response: Llama-3.1-8B-Instruct up to 4,096, Llama 4 Scout 17B Instruct up to 16,384, Ministral 8B Instruct up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Llama-3.1-8B-Instruct accepts text; Llama 4 Scout 17B Instruct accepts text and images; Ministral 8B Instruct accepts text. Llama 4 Scout 17B Instruct 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?
Llama 4 Scout 17B Instruct is the newest, released Apr 5, 2025. Ministral 8B Instruct came out Oct 16, 2024; Llama-3.1-8B-Instruct came out Jul 23, 2024. Knowledge cutoff: Llama-3.1-8B-Instruct Dec 2023, Llama 4 Scout 17B Instruct Aug 2024.
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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