ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Gemma 2 27B vs Mixtral 8x22B Instruct vs Mistral Large

Mistral Large comes out ahead, 44 to 35 and 34 on our weighted score, though Gemma 2 27B is 13% cheaper per token.

  1. Google

    Gemma 2 27B

    Released Jul 13, 2024

    35/100
    • ECI122.1
    • Price$0.65 / $0.65
    • Context8K
  2. Mistral AI

    Mixtral 8x22B Instruct

    Released Apr 17, 2024

    34/100
    • ECI122.0
    • Price$2.00 / $6.00
    • Context66K
  3. Our pick

    Mistral AI

    Mistral Large

    Released Feb 26, 2024

    44/100
    • ECI122.0
    • Price$0.50 / $1.50
    • Context128K
01 — Verdict

Mistral Large is our pick

Mistral Large is the better all-round choice, scoring 44/100 against Gemma 2 27B (35) and Mixtral 8x22B Instruct (34). It leads on inputs & features and context window. Gemma 2 27B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGemma 2 27BCapabilities Index (ECI): Gemma 2 27B 122.1 · Mistral Large 122.0 · Mixtral 8x22B Instruct 122.0
  • Lowest priceGemma 2 27BGemma 2 27B $0.65 · Mistral Large $0.75 · Mixtral 8x22B Instruct $3.00 per 1M tokens (3:1 blend)
  • Longest contextMistral LargeMistral Large 128,000 · Mixtral 8x22B Instruct 65,536 · Gemma 2 27B 8,192 tokens
  • Widest inputsMixtral 8x22B Instruct and Mistral LargeGemma 2 27B: Text · Mixtral 8x22B Instruct: Text, PDFs · Mistral Large: Text, PDFs
  • Self-hostingGemma 2 27B and Mixtral 8x22B InstructPublishes downloadable weights
How the score is built
MeasureWeightGemma 2 27BMixtral 8x22B InstructMistral Large
CapabilityCapabilities Index (ECI)50%424242
Price25%562653
Inputs & features15%03545
Context window10%01224
Overall100%35/10034/10044/100
02 — Side by side

Every spec in one table

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

Gemma 2 27B vs Mixtral 8x22B Instruct vs Mistral Large specifications side by side
SpecificationGemma 2 27BGoogleMixtral 8x22B InstructMistral AIMistral LargeMistral AI
Capability
Capabilities Index (ECI)122.1 (best)122.0122.0
ECI rank#152 of 165 (best)#155 of 165#153 of 165
GPQA DiamondGraduate-level science questions36.5%34.1%38.8% (best)
OTIS Mock AIME 2024–2025Competition mathematics1.4%—1.9% (best)
Price per million tokens
Input$0.65$2.00$0.50 (best)
Output$0.65 (best)$6.00$1.50
Cached input——$0.05
Blended (3:1)$0.65 (best)$3.00$0.75
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 3 providersMedian of 5 providersOfficial Mistral API
Limits
Context window8,192 tokens65,536 tokens128,000 tokens (best)
Max output2,048 tokens52,428 tokens102,400 tokens (best)
Inputs and features
TextYesYesYes
ImagesNoNoNo
PDFsNoYesYes
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingNoYesYes
Structured outputNoNoYes
Availability
WeightsOpenOpenProprietary
API model ID——mistral-large-latest
API providers3511 (best)
ReleasedJul 13, 2024Apr 17, 2024Feb 26, 2024
Knowledge cutoffJun 30, 2024Jan 31, 2024Nov 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.

  • Gemma 2 27B$7.80
  • Mixtral 8x22B Instruct$32.00
  • Mistral Large$8.00
04 — Questions

Which should you choose?

Which is better: Gemma 2 27B, Mixtral 8x22B Instruct or Mistral Large?

Mistral Large is the better all-round choice, scoring 44/100 against Gemma 2 27B (35) and Mixtral 8x22B Instruct (34). It leads on inputs & features and context window. Gemma 2 27B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemma 2 27B, Mixtral 8x22B Instruct or Mistral Large?

Gemma 2 27B is cheaper at $0.65 input / $0.65 output per million tokens (median across 3 API providers). Mistral Large costs $0.50 input / $1.50 output per million tokens (official Mistral API price); Mixtral 8x22B Instruct costs $2.00 input / $6.00 output per million tokens (median across 5 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 $0.75 for Mistral Large (1.2× as much) and $3.00 for Mixtral 8x22B Instruct (4.6× 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), Mistral Large 122.0 (#153 of 165) and Mixtral 8x22B Instruct 122.0 (#155 of 165). The confidence ranges of the top two overlap (115.8–124.1 vs 115.7–124.8), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Large 38.8%, Gemma 2 27B 36.5%, Mixtral 8x22B Instruct 34.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Gemma 2 27B, Mixtral 8x22B Instruct and Mistral Large 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 Gemma 2 27B does not support tool calling, which most coding agents need.

Which has the bigger context window?

Mistral Large has the largest context window at 128,000 tokens, against 65,536 for Mixtral 8x22B Instruct and 8,192 for Gemma 2 27B. Maximum output per response: Gemma 2 27B up to 2,048, Mixtral 8x22B Instruct up to 52,428, Mistral Large up to 102,400 tokens.

Which can read images, PDFs, audio or video?

Gemma 2 27B accepts text; Mixtral 8x22B Instruct accepts text and PDFs; Mistral Large accepts text and PDFs. Mixtral 8x22B Instruct handles the widest range of inputs.

Are any of these open source?

Gemma 2 27B and Mixtral 8x22B Instruct publishes its weights and can be self-hosted; Mistral Large is proprietary.

Which is newer?

Gemma 2 27B is the newest, released Jul 13, 2024. Mixtral 8x22B Instruct came out Apr 17, 2024; Mistral Large came out Feb 26, 2024. Knowledge cutoff: Gemma 2 27B Jun 30, 2024, Mixtral 8x22B Instruct Jan 31, 2024, Mistral Large Nov 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.