ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Mistral Large 2.1 vs Gemma 2 27B

Too close to call on our weighted score (Mistral Large 2.1 38, Gemma 2 27B 35). The right pick depends on what you value most.

  1. Mistral AI

    Mistral Large 2.1

    Released Nov 18, 2024

    38/100
    • ECI128.6
    • Price$2.00 / $6.00
    • Context131K
    Full specs Remove Mistral Large 2.1

  2. Google

    Gemma 2 27B

    Released Jul 13, 2024

    35/100
    • ECI122.1
    • Price$0.65 / $0.65
    • Context8K
    Full specs Remove Gemma 2 27B

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 3 points (Mistral Large 2.1 38/100, Gemma 2 27B 35/100), so choose by what matters most for your work: Mistral Large 2.1 for raw capability and Gemma 2 27B on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMistral Large 2.1Capabilities Index (ECI): Mistral Large 2.1 128.6 · Gemma 2 27B 122.1
  • Lowest priceGemma 2 27BGemma 2 27B $0.65 · Mistral Large 2.1 $3.00 per 1M tokens (3:1 blend)
  • Longest contextMistral Large 2.1Mistral Large 2.1 131,072 · Gemma 2 27B 8,192 tokens
  • Widest inputsSame inputsMistral Large 2.1: Text · Gemma 2 27B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMistral Large 2.1Gemma 2 27B
CapabilityCapabilities Index (ECI)50%5042
Price25%2656
Inputs & features15%250
Context window10%250
Overall100%38/10035/100
02 — Side by side

Every spec in one table

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

Mistral Large 2.1 vs Gemma 2 27B specifications side by side
SpecificationMistral Large 2.1Mistral AIGemma 2 27BGoogle
Capability
Capabilities Index (ECI)128.6 (best)122.1
ECI rank#142 of 165 (best)#152 of 165
GPQA DiamondGraduate-level science questions51.3% (best)36.5%
OTIS Mock AIME 2024–2025Competition mathematics7.8% (best)1.4%
Price per million tokens
Input$2.00$0.65 (best)
Output$6.00$0.65 (best)
Cached input——
Blended (3:1)$3.00$0.65 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersMedian of 3 providers
Limits
Context window131,072 tokens (best)8,192 tokens
Max output16,384 tokens (best)2,048 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesNo
Structured outputNoNo
Availability
WeightsOpenOpen
API model ID——
API providers23 (best)
ReleasedNov 18, 2024Jul 13, 2024
Knowledge cutoffNov 2024Jun 30, 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.

  • Mistral Large 2.1$32.00
  • Gemma 2 27B$7.80
04 — Questions

Which should you choose?

Which is better: Mistral Large 2.1 or Gemma 2 27B?

It is close. Our weighted score puts them within 3 points (Mistral Large 2.1 38/100, Gemma 2 27B 35/100), so choose by what matters most for your work: Mistral Large 2.1 for raw capability and Gemma 2 27B on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Large 2.1 or Gemma 2 27B?

Gemma 2 27B is cheaper at $0.65 input / $0.65 output per million tokens (median across 3 API providers). Mistral Large 2.1 costs $2.00 input / $6.00 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.65 per million tokens for Gemma 2 27B versus $3.00 for Mistral Large 2.1 (4.6× as much).

Which scores higher on benchmarks?

Mistral Large 2.1 scores higher on the Capabilities Index (ECI): Mistral Large 2.1 128.6 (#142 of 165) and Gemma 2 27B 122.1 (#152 of 165). Their confidence ranges do not overlap (124.3–130.7 vs 115.8–124.1), so the gap is a real one. On individual benchmarks: GPQA Diamond — Mistral Large 2.1 51.3%, Gemma 2 27B 36.5%; OTIS Mock AIME 2024–2025 — Mistral Large 2.1 7.8%, Gemma 2 27B 1.4%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Large 2.1 and Gemma 2 27B yet, so there is no like-for-like coding score. On overall capability, Mistral Large 2.1 leads, which tends to carry over to coding, but test on your own codebase. Note that Gemma 2 27B does not support tool calling, which most coding agents need.

Which has the bigger context window?

Mistral Large 2.1 has the largest context window at 131,072 tokens, against 8,192 for Gemma 2 27B. Maximum output per response: Mistral Large 2.1 up to 16,384, Gemma 2 27B up to 2,048 tokens.

Which can read images, PDFs, audio or video?

Mistral Large 2.1 accepts text; Gemma 2 27B accepts text. They handle the same number of input types.

Are any of these open source?

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

Which is newer?

Mistral Large 2.1 is the newest, released Nov 18, 2024. Gemma 2 27B came out Jul 13, 2024. Knowledge cutoff: Mistral Large 2.1 Nov 2024, Gemma 2 27B Jun 30, 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.

05 — Keep comparing

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