ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Mixtral 8x7B Instruct v0.1 vs Gemma 2 27B

Too close to call on our weighted score (Gemma 2 27B 35, Mixtral 8x7B Instruct v0.1 34). The right pick depends on what you value most.

  1. Mistral AI

    Mixtral 8x7B Instruct v0.1

    Released Dec 11, 2023

    34/100
    • ECI118.4
    • Price$0.444 / $0.579
    • Context33K
    Full specs Remove Mixtral 8x7B Instruct v0.1

  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

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Gemma 2 27B 35/100, Mixtral 8x7B Instruct v0.1 34/100), so choose by what matters most for your work: Gemma 2 27B for raw capability, Mixtral 8x7B Instruct v0.1 on price and Mixtral 8x7B Instruct v0.1 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGemma 2 27BCapabilities Index (ECI): Gemma 2 27B 122.1 · Mixtral 8x7B Instruct v0.1 118.4
  • Lowest priceMixtral 8x7B Instruct v0.1Mixtral 8x7B Instruct v0.1 $0.478 · Gemma 2 27B $0.65 per 1M tokens (3:1 blend)
  • Longest contextMixtral 8x7B Instruct v0.1Mixtral 8x7B Instruct v0.1 32,768 · Gemma 2 27B 8,192 tokens
  • Widest inputsSame inputsMixtral 8x7B Instruct v0.1: 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
MeasureWeightMixtral 8x7B Instruct v0.1Gemma 2 27B
CapabilityCapabilities Index (ECI)50%3842
Price25%6256
Inputs & features15%00
Context window10%00
Overall100%34/10035/100
02 — Side by side

Every spec in one table

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

Mixtral 8x7B Instruct v0.1 vs Gemma 2 27B specifications side by side
SpecificationMixtral 8x7B Instruct v0.1Mistral AIGemma 2 27BGoogle
Capability
Capabilities Index (ECI)118.4122.1 (best)
ECI rank#160 of 165#152 of 165 (best)
GPQA DiamondGraduate-level science questions30.6%36.5% (best)
OTIS Mock AIME 2024–2025Competition mathematics—1.4%
Price per million tokens
Input$0.444 (best)$0.65
Output$0.579 (best)$0.65
Cached input——
Blended (3:1)$0.478 (best)$0.65
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersMedian of 3 providers
Limits
Context window32,768 tokens (best)8,192 tokens
Max output32,768 tokens (best)2,048 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingNoNo
Structured outputNoNo
Availability
WeightsOpenApache 2.0Open
API model ID——
API providers23 (best)
ReleasedDec 11, 2023Jul 13, 2024
Knowledge cutoff—Jun 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.

  • Mixtral 8x7B Instruct v0.1$5.60
  • Gemma 2 27B$7.80
04 — Questions

Which should you choose?

Which is better: Mixtral 8x7B Instruct v0.1 or Gemma 2 27B?

It is close. Our weighted score puts them within a point (Gemma 2 27B 35/100, Mixtral 8x7B Instruct v0.1 34/100), so choose by what matters most for your work: Gemma 2 27B for raw capability, Mixtral 8x7B Instruct v0.1 on price and Mixtral 8x7B Instruct v0.1 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mixtral 8x7B Instruct v0.1 or Gemma 2 27B?

Mixtral 8x7B Instruct v0.1 is cheaper at $0.444 input / $0.579 output per million tokens (median across 2 API providers). Gemma 2 27B costs $0.65 input / $0.65 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $0.478 per million tokens for Mixtral 8x7B Instruct v0.1 versus $0.65 for Gemma 2 27B (1.4× as much).

Which scores higher on benchmarks?

Gemma 2 27B scores higher on the Capabilities Index (ECI): Gemma 2 27B 122.1 (#152 of 165) and Mixtral 8x7B Instruct v0.1 118.4 (#160 of 165). The confidence ranges of the top two overlap (115.8–124.1 vs 110.9–121.0), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemma 2 27B 36.5%, Mixtral 8x7B Instruct v0.1 30.6%.

Which is better for coding?

There are no published SWE-bench Verified results for Mixtral 8x7B Instruct v0.1 and Gemma 2 27B yet, so there is no like-for-like coding score. On overall capability, Gemma 2 27B leads, which tends to carry over to coding, but test on your own codebase. Note that Mixtral 8x7B Instruct v0.1 and Gemma 2 27B does not support tool calling, which most coding agents need.

Which has the bigger context window?

Mixtral 8x7B Instruct v0.1 has the largest context window at 32,768 tokens, against 8,192 for Gemma 2 27B. Maximum output per response: Mixtral 8x7B Instruct v0.1 up to 32,768, Gemma 2 27B up to 2,048 tokens.

Which can read images, PDFs, audio or video?

Mixtral 8x7B Instruct v0.1 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 (Apache 2.0), so you can self-host them.

Which is newer?

Gemma 2 27B is the newest, released Jul 13, 2024. Mixtral 8x7B Instruct v0.1 came out Dec 11, 2023. Knowledge cutoff: 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

Related comparisons