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Comparison · 3 models · Updated Nov 2, 2026

Mixtral 8x22B Instruct vs Mistral Large 2407 vs Gemma 2 27B

Mistral Large 2407 comes out ahead, 39 to 35 and 34 on our weighted score, though Gemma 2 27B is 4.6× cheaper per token.

  1. Mistral AI

    Mixtral 8x22B Instruct

    Released Apr 17, 2024

    34/100
    • ECI122.0
    • Price$2.00 / $6.00
    • Context66K
    Full specs Remove Mixtral 8x22B Instruct
  2. Our pick

    Mistral AI

    Mistral Large 2407

    Released Jul 24, 2024

    39/100
    • ECI127.6
    • Price$2.00 / $6.00
    • Context131K
    Full specs Remove Mistral Large 2407

  3. Google

    Gemma 2 27B

    Released Jul 13, 2024

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

Mistral Large 2407 is our pick

Mistral Large 2407 is the better all-round choice, scoring 39/100 against Gemma 2 27B (35) and Mixtral 8x22B Instruct (34). It leads on capability and context window. Gemma 2 27B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMistral Large 2407Capabilities Index (ECI): Mistral Large 2407 127.6 · Gemma 2 27B 122.1 · Mixtral 8x22B Instruct 122.0
  • Lowest priceGemma 2 27BGemma 2 27B $0.65 · Mixtral 8x22B Instruct $3.00 · Mistral Large 2407 $3.00 per 1M tokens (3:1 blend)
  • Longest contextMistral Large 2407Mistral Large 2407 131,072 · Mixtral 8x22B Instruct 65,536 · Gemma 2 27B 8,192 tokens
  • Widest inputsMixtral 8x22B Instruct and Mistral Large 2407Mixtral 8x22B Instruct: Text, PDFs · Mistral Large 2407: Text, PDFs · 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 8x22B InstructMistral Large 2407Gemma 2 27B
CapabilityCapabilities Index (ECI)50%424942
Price25%262656
Inputs & features15%35350
Context window10%12250
Overall100%34/10039/10035/100
02 — Side by side

Every spec in one table

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

Mixtral 8x22B Instruct vs Mistral Large 2407 vs Gemma 2 27B specifications side by side
SpecificationMixtral 8x22B InstructMistral AIMistral Large 2407Mistral AIGemma 2 27BGoogle
Capability
Capabilities Index (ECI)122.0127.6 (best)122.1
ECI rank#155 of 165#144 of 165 (best)#152 of 165
GPQA DiamondGraduate-level science questions34.1%49.0% (best)36.5%
OTIS Mock AIME 2024–2025Competition mathematics—8.5% (best)1.4%
Price per million tokens
Input$2.00$2.00$0.65 (best)
Output$6.00$6.00$0.65 (best)
Cached input———
Blended (3:1)$3.00$3.00$0.65 (best)
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 5 providersMedian of 5 providersMedian of 3 providers
Limits
Context window65,536 tokens131,072 tokens (best)8,192 tokens
Max output52,428 tokens104,857 tokens (best)2,048 tokens
Inputs and features
TextYesYesYes
ImagesNoNoNo
PDFsYesYesNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesNo
Structured outputNoNoNo
Availability
WeightsOpenOpenOpen
API model ID———
API providers5 (best)5 (best)3
ReleasedApr 17, 2024Jul 24, 2024Jul 13, 2024
Knowledge cutoffJan 31, 2024Mar 31, 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.

  • Mixtral 8x22B Instruct$32.00
  • Mistral Large 2407$32.00
  • Gemma 2 27B$7.80
04 — Questions

Which should you choose?

Which is better: Mixtral 8x22B Instruct, Mistral Large 2407 or Gemma 2 27B?

Mistral Large 2407 is the better all-round choice, scoring 39/100 against Gemma 2 27B (35) and Mixtral 8x22B Instruct (34). It leads on capability 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, Mixtral 8x22B Instruct, Mistral Large 2407 or Gemma 2 27B?

Gemma 2 27B is cheaper at $0.65 input / $0.65 output per million tokens (median across 3 API providers). Mixtral 8x22B Instruct costs $2.00 input / $6.00 output per million tokens (median across 5 API providers); Mistral Large 2407 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 $3.00 for Mixtral 8x22B Instruct (4.6× as much) and $3.00 for Mistral Large 2407 (4.6× as much).

Which scores higher on benchmarks?

Mistral Large 2407 scores higher on the Capabilities Index (ECI): Mistral Large 2407 127.6 (#144 of 165), Gemma 2 27B 122.1 (#152 of 165) and Mixtral 8x22B Instruct 122.0 (#155 of 165). The confidence ranges of the top two overlap (123.3–129.4 vs 115.8–124.1), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Large 2407 49.0%, Gemma 2 27B 36.5%, Mixtral 8x22B Instruct 34.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Mixtral 8x22B Instruct, Mistral Large 2407 and Gemma 2 27B yet, so there is no like-for-like coding score. On overall capability, Mistral Large 2407 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 2407 has the largest context window at 131,072 tokens, against 65,536 for Mixtral 8x22B Instruct and 8,192 for Gemma 2 27B. Maximum output per response: Mixtral 8x22B Instruct up to 52,428, Mistral Large 2407 up to 104,857, Gemma 2 27B up to 2,048 tokens.

Which can read images, PDFs, audio or video?

Mixtral 8x22B Instruct accepts text and PDFs; Mistral Large 2407 accepts text and PDFs; Gemma 2 27B accepts text. Mixtral 8x22B Instruct 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?

Mistral Large 2407 is the newest, released Jul 24, 2024. Gemma 2 27B came out Jul 13, 2024; Mixtral 8x22B Instruct came out Apr 17, 2024. Knowledge cutoff: Mixtral 8x22B Instruct Jan 31, 2024, Mistral Large 2407 Mar 31, 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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