ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Gemma 3 12B IT vs Gemma 3 4B IT vs Ministral 3B

Gemma 3 12B IT comes out ahead, 57 to 53 and 49 on our weighted score, though Gemma 3 4B IT is 17% cheaper per token.

  1. Our pick

    Google

    Gemma 3 12B IT

    Released Mar 12, 2025

    57/100
    • ECI123.5
    • Price$0.05 / $0.15
    • Context131K
  2. Google

    Gemma 3 4B IT

    Released Mar 12, 2025

    53/100
    • ECI116.1
    • Price$0.05 / $0.10
    • Context131K
  3. Mistral AI

    Ministral 3B

    Released Oct 16, 2024

    49/100
    • ECI118.1
    • Price$0.10 / $0.10
    • Context128K
01 — Verdict

Gemma 3 12B IT is our pick

Gemma 3 12B IT is the better all-round choice, scoring 57/100 against Gemma 3 4B IT (53) and Ministral 3B (49). It leads on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGemma 3 12B ITCapabilities Index (ECI): Gemma 3 12B IT 123.5 · Ministral 3B 118.1 · Gemma 3 4B IT 116.1
  • Lowest priceGemma 3 4B ITGemma 3 4B IT $0.063 · Gemma 3 12B IT $0.075 · Ministral 3B $0.10 per 1M tokens (3:1 blend)
  • Longest contextGemma 3 12B IT and Gemma 3 4B ITGemma 3 12B IT 131,072 · Gemma 3 4B IT 131,072 · Ministral 3B 128,000 tokens
  • Widest inputsGemma 3 12B IT and Gemma 3 4B ITGemma 3 12B IT: Text, Images · Gemma 3 4B IT: Text, Images · Ministral 3B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGemma 3 12B ITGemma 3 4B ITMinistral 3B
CapabilityCapabilities Index (ECI)50%453538
Price25%10010097
Inputs & features15%505025
Context window10%242424
Overall100%57/10053/10049/100
02 — Side by side

Every spec in one table

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

Gemma 3 12B IT vs Gemma 3 4B IT vs Ministral 3B specifications side by side
SpecificationGemma 3 12B ITGoogleGemma 3 4B ITGoogleMinistral 3BMistral AI
Capability
Capabilities Index (ECI)123.5 (best)116.1118.1
ECI rank#138 of 148 (best)#146 of 148#144 of 148
GPQA DiamondGraduate-level science questions39.5% (best)23.2%25.3%
OTIS Mock AIME 2024–2025Competition mathematics16.7% (best)7.5%—
Price per million tokens
Input$0.05 (best)$0.05 (best)$0.10
Output$0.15$0.10 (best)$0.10 (best)
Cached input———
Blended (3:1)$0.075$0.063 (best)$0.10
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 7 providersMedian of 7 providersMedian of 1 providers
Limits
Context window131,072 tokens (best)131,072 tokens (best)128,000 tokens
Max output131,072 tokens (best)131,072 tokens (best)8,192 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenOpenOpen
API model ID———
API providers7 (best)7 (best)1
ReleasedMar 12, 2025Mar 12, 2025Oct 16, 2024
Knowledge cutoffAug 2024Aug 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 12B IT$0.80
  • Gemma 3 4B IT$0.70
  • Ministral 3B$1.20
04 — Questions

Which should you choose?

Which is better: Gemma 3 12B IT, Gemma 3 4B IT or Ministral 3B?

Gemma 3 12B IT is the better all-round choice, scoring 57/100 against Gemma 3 4B IT (53) and Ministral 3B (49). It leads on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemma 3 12B IT, Gemma 3 4B IT or Ministral 3B?

Gemma 3 4B IT is cheaper at $0.05 input / $0.10 output per million tokens (median across 7 API providers). Gemma 3 12B IT costs $0.05 input / $0.15 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). 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 $0.075 for Gemma 3 12B IT (1.2× as much) and $0.10 for Ministral 3B (1.6× as much).

Which scores higher on benchmarks?

Gemma 3 12B IT scores higher on the Capabilities Index (ECI): Gemma 3 12B IT 123.5 (#138 of 148), Ministral 3B 118.1 (#144 of 148) and Gemma 3 4B IT 116.1 (#146 of 148). The confidence ranges of the top two overlap (115.6–129.3 vs 107.4–121.8), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemma 3 12B IT 39.5%, 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 12B IT, Gemma 3 4B IT and Ministral 3B yet, so there is no like-for-like coding score. On overall capability, Gemma 3 12B IT 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 12B IT and Gemma 3 4B IT have the largest context windows (131,072 and 131,072 tokens), against 128,000 for Ministral 3B. Maximum output per response: Gemma 3 12B IT up to 131,072, Gemma 3 4B IT up to 131,072, Ministral 3B up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Gemma 3 12B IT accepts text and images; Gemma 3 4B IT accepts text and images; Ministral 3B accepts text. Gemma 3 12B IT handles the widest range of inputs.

Are any of these open source?

Yes, all three publish their weights, so you can self-host them.

Which is newer?

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