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Comparison · 3 models · Updated Nov 2, 2026

Gemma 2 27B vs GPT-4o mini vs Mistral Large

GPT-4o mini comes out ahead, 55 to 44 and 35 on our weighted score, and it is the cheaper option too.

  1. Google

    Gemma 2 27B

    Released Jul 13, 2024

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

    OpenAI

    GPT-4o mini

    Released Jul 18, 2024

    55/100
    • ECI126.5
    • Price$0.15 / $0.60
    • Context128K
    Full specs Remove GPT-4o mini

  3. Mistral AI

    Mistral Large

    Released Feb 26, 2024

    44/100
    • ECI122.0
    • Price$0.50 / $1.50
    • Context128K
    Full specs Remove Mistral Large
01 — Verdict

GPT-4o mini is our pick

GPT-4o mini is the better all-round choice, scoring 55/100 against Mistral Large (44) and Gemma 2 27B (35). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-4o miniCapabilities Index (ECI): GPT-4o mini 126.5 · Gemma 2 27B 122.1 · Mistral Large 122.0
  • Lowest priceGPT-4o miniGPT-4o mini $0.263 · Gemma 2 27B $0.65 · Mistral Large $0.75 per 1M tokens (3:1 blend)
  • Longest contextGPT-4o mini and Mistral LargeGPT-4o mini 128,000 · Mistral Large 128,000 · Gemma 2 27B 8,192 tokens
  • Widest inputsGPT-4o miniGemma 2 27B: Text · GPT-4o mini: Text, Images, PDFs · Mistral Large: Text, PDFs
  • Self-hostingGemma 2 27BPublishes downloadable weights
How the score is built
MeasureWeightGemma 2 27BGPT-4o miniMistral Large
CapabilityCapabilities Index (ECI)50%424742
Price25%567453
Inputs & features15%07045
Context window10%02424
Overall100%35/10055/10044/100
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 GPT-4o mini vs Mistral Large specifications side by side
SpecificationGemma 2 27BGoogleGPT-4o miniOpenAIMistral LargeMistral AI
Capability
Capabilities Index (ECI)122.1126.5 (best)122.0
ECI rank#152 of 165#148 of 165 (best)#153 of 165
GPQA DiamondGraduate-level science questions36.5%37.7%38.8% (best)
FrontierMath Tiers 1–3Research-level mathematics—0.7%—
OTIS Mock AIME 2024–2025Competition mathematics1.4%6.9% (best)1.9%
SimpleQA VerifiedShort factual questions—8.3%—
Price per million tokens
Input$0.65$0.15 (best)$0.50
Output$0.65$0.60 (best)$1.50
Cached input—$0.075$0.05 (best)
Blended (3:1)$0.65$0.263 (best)$0.75
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 3 providersOfficial OpenAI APIOfficial Mistral API
Limits
Context window8,192 tokens128,000 tokens (best)128,000 tokens (best)
Max output2,048 tokens16,384 tokens102,400 tokens (best)
Inputs and features
TextYesYesYes
ImagesNoYesNo
PDFsNoYesYes
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingNoYesYes
Structured outputNoYesYes
Availability
WeightsOpenProprietaryProprietary
API model ID—gpt-4o-minimistral-large-latest
API providers326 (best)11
ReleasedJul 13, 2024Jul 18, 2024Feb 26, 2024
Knowledge cutoffJun 30, 2024Sep 2023Nov 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
  • GPT-4o mini$2.70
  • Mistral Large$8.00
04 — Questions

Which should you choose?

Which is better: Gemma 2 27B, GPT-4o mini or Mistral Large?

GPT-4o mini is the better all-round choice, scoring 55/100 against Mistral Large (44) and Gemma 2 27B (35). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemma 2 27B, GPT-4o mini or Mistral Large?

GPT-4o mini is cheaper at $0.15 input / $0.60 output per million tokens (official OpenAI API price). Gemma 2 27B costs $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). At a typical mix of three input tokens to one output token, that is $0.263 per million tokens for GPT-4o mini versus $0.65 for Gemma 2 27B (2.5× as much) and $0.75 for Mistral Large (2.9× as much).

Which scores higher on benchmarks?

GPT-4o mini scores higher on the Capabilities Index (ECI): GPT-4o mini 126.5 (#148 of 165), Gemma 2 27B 122.1 (#152 of 165) and Mistral Large 122.0 (#153 of 165). The confidence ranges of the top two overlap (120.5–128.6 vs 115.8–124.1), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Large 38.8%, GPT-4o mini 37.7%, Gemma 2 27B 36.5%; OTIS Mock AIME 2024–2025 — GPT-4o mini 6.9%, Mistral Large 1.9%, Gemma 2 27B 1.4%.

Which is better for coding?

There are no published SWE-bench Verified results for Gemma 2 27B, GPT-4o mini and Mistral Large yet, so there is no like-for-like coding score. On overall capability, GPT-4o mini 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?

GPT-4o mini and Mistral Large have the largest context windows (128,000 and 128,000 tokens), against 8,192 for Gemma 2 27B. Maximum output per response: Gemma 2 27B up to 2,048, GPT-4o mini up to 16,384, Mistral Large up to 102,400 tokens.

Which can read images, PDFs, audio or video?

Gemma 2 27B accepts text; GPT-4o mini accepts text, images and PDFs; Mistral Large accepts text and PDFs. GPT-4o mini handles the widest range of inputs.

Are any of these open source?

Gemma 2 27B publishes its weights and can be self-hosted; GPT-4o mini and Mistral Large is proprietary.

Which is newer?

GPT-4o mini is the newest, released Jul 18, 2024. Gemma 2 27B came out Jul 13, 2024; Mistral Large came out Feb 26, 2024. Knowledge cutoff: Gemma 2 27B Jun 30, 2024, GPT-4o mini Sep 2023, 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.

05 — Keep comparing

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