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Comparison · 2 models · Updated Oct 4, 2026

Llama-3.2-1B vs Ministral 8B Instruct

Too close to call on our weighted score (Ministral 8B Instruct 42, Llama-3.2-1B 39). The right pick depends on what you value most.

  1. Meta

    Llama-3.2-1B

    Released Sep 25, 2024

    39/100
    • ECI102.0
    • Price$0.064 / $0.15
    • Context131K
    Full specs Remove Llama-3.2-1B

  2. Mistral AI

    Ministral 8B Instruct

    Released Oct 16, 2024

    42/100
    • ECI—
    • Price$0.15 / $0.15
    • Context131K
    Full specs Remove Ministral 8B Instruct

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    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within 3 points (Ministral 8B Instruct 42/100, Llama-3.2-1B 39/100), so choose by what matters most for your work: Ministral 8B Instruct for raw capability and Llama-3.2-1B on price. 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.

  • CapabilityMinistral 8B InstructShared benchmarks: Ministral 8B Instruct 27.2% · Llama-3.2-1B 23.9%
  • Lowest priceLlama-3.2-1BLlama-3.2-1B $0.085 · Ministral 8B Instruct $0.15 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameLlama-3.2-1B 131,072 · Ministral 8B Instruct 131,072 tokens
  • Widest inputsSame inputsLlama-3.2-1B: Text · Ministral 8B Instruct: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightLlama-3.2-1BMinistral 8B Instruct
CapabilityShared benchmarks50%2427
Price25%10089
Inputs & features15%025
Context window10%2424
Overall100%39/10042/100
02 — Side by side

Every spec in one table

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

Llama-3.2-1B vs Ministral 8B Instruct specifications side by side
SpecificationLlama-3.2-1BMetaMinistral 8B InstructMistral AI
Capability
Capabilities Index (ECI)102.0—
ECI rank#147 of 148—
GPQA DiamondGraduate-level science questions23.9%27.2% (best)
OTIS Mock AIME 2024–2025Competition mathematics0.6%—
Price per million tokens
Input$0.064 (best)$0.15
Output$0.15$0.15 (best)
Cached input——
Blended (3:1)$0.085 (best)$0.15
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersMedian of 1 providers
Limits
Context window131,072 tokens131,072 tokens
Max output8,192 tokens8,192 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingNoYes
Structured outputNoNo
Availability
WeightsOpenLlama 3.2 Community LicenseOpenMistral Research License
API model ID——
API providers2 (best)1
ReleasedSep 25, 2024Oct 16, 2024
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-3.2-1B$0.936
  • Ministral 8B Instruct$1.80
04 — Questions

Which should you choose?

Which is better: Llama-3.2-1B or Ministral 8B Instruct?

It is close. Our weighted score puts them within 3 points (Ministral 8B Instruct 42/100, Llama-3.2-1B 39/100), so choose by what matters most for your work: Ministral 8B Instruct for raw capability and Llama-3.2-1B on price. 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-3.2-1B or Ministral 8B Instruct?

Llama-3.2-1B is cheaper at $0.064 input / $0.15 output per million tokens (median across 2 API providers). 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 $0.085 per million tokens for Llama-3.2-1B versus $0.15 for Ministral 8B Instruct (1.8× 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): Ministral 8B Instruct 27.2% and Llama-3.2-1B 23.9%. On individual benchmarks: GPQA Diamond — Ministral 8B Instruct 27.2%, Llama-3.2-1B 23.9%.

Which is better for coding?

There are no published SWE-bench Verified results for Llama-3.2-1B and Ministral 8B Instruct yet, so there is no like-for-like coding score. On overall capability, Ministral 8B Instruct leads, which tends to carry over to coding, but test on your own codebase. Note that Llama-3.2-1B does not support tool calling, which most coding agents need.

Which has the bigger context window?

Llama-3.2-1B and Ministral 8B Instruct share the same 131,072-token context window. Maximum output per response: Llama-3.2-1B up to 8,192, Ministral 8B Instruct up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Llama-3.2-1B accepts text; Ministral 8B Instruct accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights (Llama 3.2 Community License and Mistral Research License), so you can self-host them.

Which is newer?

Ministral 8B Instruct is the newest, released Oct 16, 2024. Llama-3.2-1B came out Sep 25, 2024. Knowledge cutoff: Llama-3.2-1B 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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