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Comparison · 2 models · Updated Oct 4, 2026

Llama-3.1-8B-Instruct vs Ministral 14B

Ministral 14B comes out ahead, 64 to 56 on our weighted score, though Llama-3.1-8B-Instruct is 22% cheaper per token.

  1. Meta

    Llama-3.1-8B-Instruct

    Released Jul 23, 2024

    56/100
    • ECI116.6
    • Price$0.152 / $0.167
    • Context128K
    Full specs Remove Llama-3.1-8B-Instruct
  2. Our pick

    Mistral AI

    Ministral 14B

    Released Dec 2, 2025

    64/100
    • ECI—
    • Price$0.20 / $0.20
    • Context262K
    Full specs Remove Ministral 14B

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Ministral 14B is our pick

Ministral 14B is the better all-round choice, scoring 64/100 against Llama-3.1-8B-Instruct (56). It leads on inputs & features and context window. Llama-3.1-8B-Instruct 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 priceLlama-3.1-8B-InstructLlama-3.1-8B-Instruct $0.156 · Ministral 14B $0.20 per 1M tokens (3:1 blend)
  • Longest contextMinistral 14BMinistral 14B 262,144 · Llama-3.1-8B-Instruct 128,000 tokens
  • Widest inputsMinistral 14BLlama-3.1-8B-Instruct: Text · Ministral 14B: Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightLlama-3.1-8B-InstructMinistral 14B
Price50%8883
Inputs & features30%2550
Context window20%2437
Overall100%56/10064/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Llama-3.1-8B-Instruct vs Ministral 14B specifications side by side
SpecificationLlama-3.1-8B-InstructMetaMinistral 14BMistral AI
Capability
Capabilities Index (ECI)116.6—
ECI rank#145 of 148—
GPQA DiamondGraduate-level science questions27.0%—
OTIS Mock AIME 2024–2025Competition mathematics1.7%—
Price per million tokens
Input$0.152 (best)$0.20
Output$0.167 (best)$0.20
Cached input——
Blended (3:1)$0.156 (best)$0.20
Long-context rateSame rateSame rate
Price sourceMedian of 9 providersMedian of 1 providers
Limits
Context window128,000 tokens262,144 tokens (best)
Max output4,096 tokens262,144 tokens (best)
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpenApache-2.0
API model ID——
API providers9 (best)1
ReleasedJul 23, 2024Dec 2, 2025
Knowledge cutoffDec 2023—
03 — Cost

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
  • Ministral 14B$2.40
04 — Questions

Which should you choose?

Which is better: Llama-3.1-8B-Instruct or Ministral 14B?

Ministral 14B is the better all-round choice, scoring 64/100 against Llama-3.1-8B-Instruct (56). It leads on inputs & features and context window. Llama-3.1-8B-Instruct 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, Llama-3.1-8B-Instruct or Ministral 14B?

Llama-3.1-8B-Instruct is cheaper at $0.152 input / $0.167 output per million tokens (median across 9 API providers). Ministral 14B costs $0.20 input / $0.20 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.156 per million tokens for Llama-3.1-8B-Instruct versus $0.20 for Ministral 14B (1.3× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Llama-3.1-8B-Instruct has an ECI of 116.6 and Ministral 14B has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Llama-3.1-8B-Instruct and Ministral 14B 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 14B has the largest context window at 262,144 tokens, against 128,000 for Llama-3.1-8B-Instruct. Maximum output per response: Llama-3.1-8B-Instruct up to 4,096, Ministral 14B up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Llama-3.1-8B-Instruct accepts text; Ministral 14B accepts text and images. Ministral 14B handles the widest range of inputs.

Are any of these open source?

Yes, both publish their weights (Apache-2.0), so you can self-host them.

Which is newer?

Ministral 14B is the newest, released Dec 2, 2025. Llama-3.1-8B-Instruct came out Jul 23, 2024. Knowledge cutoff: 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.

05 — Keep comparing

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