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Comparison · 3 models · Updated Oct 4, 2026

Gemma 3 4B IT vs Ministral 3B vs Ministral 8B Instruct

Gemma 3 4B IT comes out ahead, 47 to 43 and 42 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Google

    Gemma 3 4B IT

    Released Mar 12, 2025

    47/100
    • ECI116.1
    • Price$0.05 / $0.10
    • Context131K
  2. Mistral AI

    Ministral 3B

    Released Oct 16, 2024

    43/100
    • ECI118.1
    • Price$0.10 / $0.10
    • Context128K
  3. Mistral AI

    Ministral 8B Instruct

    Released Oct 16, 2024

    42/100
    • ECI—
    • Price$0.15 / $0.15
    • Context131K
01 — Verdict

Gemma 3 4B IT is our pick

Gemma 3 4B IT is the better all-round choice, scoring 47/100 against Ministral 3B (43) and Ministral 8B Instruct (42). It leads on price and inputs & features. Ministral 8B Instruct wins on capability. 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% · Ministral 3B 25.3% · Gemma 3 4B IT 23.2%
  • Lowest priceGemma 3 4B ITGemma 3 4B IT $0.063 · Ministral 3B $0.10 · Ministral 8B Instruct $0.15 per 1M tokens (3:1 blend)
  • Longest contextGemma 3 4B IT and Ministral 8B InstructGemma 3 4B IT 131,072 · Ministral 8B Instruct 131,072 · Ministral 3B 128,000 tokens
  • Widest inputsGemma 3 4B ITGemma 3 4B IT: Text, Images · Ministral 3B: 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
MeasureWeightGemma 3 4B ITMinistral 3BMinistral 8B Instruct
CapabilityShared benchmarks50%232527
Price25%1009789
Inputs & features15%502525
Context window10%242424
Overall100%47/10043/10042/100
02 — Side by side

Every spec in one table

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

Gemma 3 4B IT vs Ministral 3B vs Ministral 8B Instruct specifications side by side
SpecificationGemma 3 4B ITGoogleMinistral 3BMistral AIMinistral 8B InstructMistral AI
Capability
Capabilities Index (ECI)116.1118.1 (best)—
ECI rank#146 of 148#144 of 148 (best)—
GPQA DiamondGraduate-level science questions23.2%25.3%27.2% (best)
OTIS Mock AIME 2024–2025Competition mathematics7.5%——
Price per million tokens
Input$0.05 (best)$0.10$0.15
Output$0.10 (best)$0.10 (best)$0.15
Cached input———
Blended (3:1)$0.063 (best)$0.10$0.15
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 7 providersMedian of 1 providersMedian of 1 providers
Limits
Context window131,072 tokens (best)128,000 tokens131,072 tokens (best)
Max output131,072 tokens (best)8,192 tokens8,192 tokens
Inputs and features
TextYesYesYes
ImagesYesNoNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenOpenOpenMistral Research License
API model ID———
API providers7 (best)11
ReleasedMar 12, 2025Oct 16, 2024Oct 16, 2024
Knowledge cutoffAug 2024Mar 2024—
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.

  • Gemma 3 4B IT$0.70
  • Ministral 3B$1.20
  • Ministral 8B Instruct$1.80
04 — Questions

Which should you choose?

Which is better: Gemma 3 4B IT, Ministral 3B or Ministral 8B Instruct?

Gemma 3 4B IT is the better all-round choice, scoring 47/100 against Ministral 3B (43) and Ministral 8B Instruct (42). It leads on price and inputs & features. Ministral 8B Instruct wins on capability. 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, Gemma 3 4B IT, Ministral 3B or Ministral 8B Instruct?

Gemma 3 4B IT is cheaper at $0.05 input / $0.10 output per million tokens (median across 7 API providers). Ministral 3B costs $0.10 input / $0.10 output per million tokens (median across 1 API provider); 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 $0.063 per million tokens for Gemma 3 4B IT versus $0.10 for Ministral 3B (1.6× as much) and $0.15 for Ministral 8B Instruct (2.4× 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%, Ministral 3B 25.3% and Gemma 3 4B IT 23.2%. On individual benchmarks: GPQA Diamond — Ministral 8B Instruct 27.2%, Ministral 3B 25.3%, Gemma 3 4B IT 23.2%.

Which is better for coding?

There are no published SWE-bench Verified results for Gemma 3 4B IT, Ministral 3B 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. All three support tool calling for agent workflows.

Which has the bigger context window?

Gemma 3 4B IT and Ministral 8B Instruct have the largest context windows (131,072 and 131,072 tokens), against 128,000 for Ministral 3B. Maximum output per response: Gemma 3 4B IT up to 131,072, Ministral 3B up to 8,192, Ministral 8B Instruct up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Gemma 3 4B IT accepts text and images; Ministral 3B accepts text; Ministral 8B Instruct accepts text. Gemma 3 4B IT 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?

Gemma 3 4B IT is the newest, released Mar 12, 2025. Ministral 3B came out Oct 16, 2024; Ministral 8B Instruct came out Oct 16, 2024. Knowledge cutoff: Gemma 3 4B IT Aug 2024, Ministral 3B Mar 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.