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Comparison · 3 models · Updated Nov 2, 2026

Gemma 3 27B IT vs Mistral Small 3 vs Phi-4-multimodal-instruct

Phi-4-multimodal-instruct comes out ahead, 72 to 62 and 50 on our weighted score, though Mistral Small 3 is 28% cheaper per token.

  1. Google

    Gemma 3 27B IT

    Released Mar 12, 2025

    62/100
    • ECI129.9
    • Price$0.11 / $0.30
    • Context131K
  2. Mistral AI

    Mistral Small 3

    Released Jan 30, 2025

    50/100
    • ECI—
    • Price$0.05 / $0.08
    • Context33K
  3. Our pick

    Microsoft

    Phi-4-multimodal-instruct

    Released Feb 26, 2025

    72/100
    • ECI—
    • Price$0.07 / $0.11
    • Context131K
01 — Verdict

Phi-4-multimodal-instruct is our pick

Phi-4-multimodal-instruct is the better all-round choice, scoring 72/100 against Gemma 3 27B IT (62) and Mistral Small 3 (50). It leads on inputs & features. Mistral Small 3 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 priceMistral Small 3Mistral Small 3 $0.058 · Phi-4-multimodal-instruct $0.08 · Gemma 3 27B IT $0.157 per 1M tokens (3:1 blend)
  • Longest contextGemma 3 27B IT and Phi-4-multimodal-instructGemma 3 27B IT 131,072 · Phi-4-multimodal-instruct 131,072 · Mistral Small 3 32,768 tokens
  • Widest inputsPhi-4-multimodal-instructGemma 3 27B IT: Text, Images · Mistral Small 3: Text · Phi-4-multimodal-instruct: Text, Images, Audio
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGemma 3 27B ITMistral Small 3Phi-4-multimodal-instruct
Price50%8410098
Inputs & features30%50060
Context window20%25025
Overall100%62/10050/10072/100

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.

Gemma 3 27B IT vs Mistral Small 3 vs Phi-4-multimodal-instruct specifications side by side
SpecificationGemma 3 27B ITGoogleMistral Small 3Mistral AIPhi-4-multimodal-instructMicrosoft
Capability
Capabilities Index (ECI)129.9——
ECI rank#137 of 165——
GPQA DiamondGraduate-level science questions47.7% (best)47.3%—
OTIS Mock AIME 2024–2025Competition mathematics22.5% (best)6.7%—
Price per million tokens
Input$0.11$0.05 (best)$0.07
Output$0.30$0.08 (best)$0.11
Cached input———
Blended (3:1)$0.157$0.058 (best)$0.08
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 16 providersMedian of 6 providersMedian of 1 providers
Limits
Context window131,072 tokens (best)32,768 tokens131,072 tokens (best)
Max output131,072 tokens (best)16,384 tokens131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsNoNoNo
AudioNoNoYes
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesNoYes
Structured outputNoNoNo
Availability
WeightsOpenOpenOpenMIT
API model ID———
API providers17 (best)61
ReleasedMar 12, 2025Jan 30, 2025Feb 26, 2025
Knowledge cutoffAug 2024Oct 31, 2023Jun 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 27B IT$1.69
  • Mistral Small 3$0.66
  • Phi-4-multimodal-instruct$0.92
04 — Questions

Which should you choose?

Which is better: Gemma 3 27B IT, Mistral Small 3 or Phi-4-multimodal-instruct?

Phi-4-multimodal-instruct is the better all-round choice, scoring 72/100 against Gemma 3 27B IT (62) and Mistral Small 3 (50). It leads on inputs & features. Mistral Small 3 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, Gemma 3 27B IT, Mistral Small 3 or Phi-4-multimodal-instruct?

Mistral Small 3 is cheaper at $0.05 input / $0.08 output per million tokens (median across 6 API providers). Phi-4-multimodal-instruct costs $0.07 input / $0.11 output per million tokens (median across 1 API provider); Gemma 3 27B IT costs $0.11 input / $0.30 output per million tokens (median across 16 API providers). At a typical mix of three input tokens to one output token, that is $0.058 per million tokens for Mistral Small 3 versus $0.08 for Phi-4-multimodal-instruct (1.4× as much) and $0.157 for Gemma 3 27B IT (2.7× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Gemma 3 27B IT has an ECI of 129.9, Mistral Small 3 has not been scored yet and Phi-4-multimodal-instruct has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Gemma 3 27B IT, Mistral Small 3 and Phi-4-multimodal-instruct yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Mistral Small 3 does not support tool calling, which most coding agents need.

Which has the bigger context window?

Gemma 3 27B IT and Phi-4-multimodal-instruct have the largest context windows (131,072 and 131,072 tokens), against 32,768 for Mistral Small 3. Maximum output per response: Gemma 3 27B IT up to 131,072, Mistral Small 3 up to 16,384, Phi-4-multimodal-instruct up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Gemma 3 27B IT accepts text and images; Mistral Small 3 accepts text; Phi-4-multimodal-instruct accepts text, images and audio. Phi-4-multimodal-instruct handles the widest range of inputs.

Are any of these open source?

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

Which is newer?

Gemma 3 27B IT is the newest, released Mar 12, 2025. Phi-4-multimodal-instruct came out Feb 26, 2025; Mistral Small 3 came out Jan 30, 2025. Knowledge cutoff: Gemma 3 27B IT Aug 2024, Mistral Small 3 Oct 31, 2023, Phi-4-multimodal-instruct Jun 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 Nov 2, 2026.