ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Gemma 2 27B vs Claude Haiku 3.5 vs Mistral Large

Too close to call on our weighted score (Claude Haiku 3.5 46, Mistral Large 44, Gemma 2 27B 35). The right pick depends on what you value most.

  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. Anthropic

    Claude Haiku 3.5

    Released Oct 22, 2024

    46/100
    • ECI127.0
    • Price$0.80 / $4.00
    • Context200K
    Full specs Remove Claude Haiku 3.5

  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

Too close to call

It is close. Our weighted score puts them within 2 points (Claude Haiku 3.5 46/100, Mistral Large 44/100, Gemma 2 27B 35/100), so choose by what matters most for your work: Claude Haiku 3.5 for raw capability and Gemma 2 27B on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Haiku 3.5Capabilities Index (ECI): Claude Haiku 3.5 127.0 · Gemma 2 27B 122.1 · Mistral Large 122.0
  • Lowest priceGemma 2 27BGemma 2 27B $0.65 · Mistral Large $0.75 · Claude Haiku 3.5 $1.60 per 1M tokens (3:1 blend)
  • Longest contextClaude Haiku 3.5Claude Haiku 3.5 200,000 · Mistral Large 128,000 · Gemma 2 27B 8,192 tokens
  • Widest inputsClaude Haiku 3.5Gemma 2 27B: Text · Claude Haiku 3.5: Text, Images, PDFs · Mistral Large: Text, PDFs
  • Self-hostingGemma 2 27BPublishes downloadable weights
How the score is built
MeasureWeightGemma 2 27BClaude Haiku 3.5Mistral Large
CapabilityCapabilities Index (ECI)50%424842
Price25%563853
Inputs & features15%06045
Context window10%03224
Overall100%35/10046/10044/100
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 Claude Haiku 3.5 vs Mistral Large specifications side by side
SpecificationGemma 2 27BGoogleClaude Haiku 3.5AnthropicMistral LargeMistral AI
Capability
Capabilities Index (ECI)122.1127.0 (best)122.0
ECI rank#152 of 165#147 of 165 (best)#153 of 165
GPQA DiamondGraduate-level science questions36.5%38.1%38.8% (best)
OTIS Mock AIME 2024–2025Competition mathematics1.4%4.3% (best)1.9%
Price per million tokens
Input$0.65$0.80$0.50 (best)
Output$0.65 (best)$4.00$1.50
Cached input——$0.05
Blended (3:1)$0.65 (best)$1.60$0.75
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 3 providersMedian of 3 providersOfficial Mistral API
Limits
Context window8,192 tokens200,000 tokens (best)128,000 tokens
Max output2,048 tokens8,192 tokens102,400 tokens (best)
Inputs and features
TextYesYesYes
ImagesNoYesNo
PDFsNoYesYes
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingNoYesYes
Structured outputNoNoYes
Availability
WeightsOpenProprietaryProprietary
API model ID——mistral-large-latest
API providers3411 (best)
ReleasedJul 13, 2024Oct 22, 2024Feb 26, 2024
Knowledge cutoffJun 30, 2024Jul 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
  • Claude Haiku 3.5$16.00
  • Mistral Large$8.00
04 — Questions

Which should you choose?

Which is better: Gemma 2 27B, Claude Haiku 3.5 or Mistral Large?

It is close. Our weighted score puts them within 2 points (Claude Haiku 3.5 46/100, Mistral Large 44/100, Gemma 2 27B 35/100), so choose by what matters most for your work: Claude Haiku 3.5 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, Gemma 2 27B, Claude Haiku 3.5 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); Claude Haiku 3.5 costs $0.80 input / $4.00 output per million tokens (median across 3 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 $1.60 for Claude Haiku 3.5 (2.5× as much).

Which scores higher on benchmarks?

Claude Haiku 3.5 scores higher on the Capabilities Index (ECI): Claude Haiku 3.5 127.0 (#147 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 (121.4–129.2 vs 115.8–124.1), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Large 38.8%, Claude Haiku 3.5 38.1%, Gemma 2 27B 36.5%; OTIS Mock AIME 2024–2025 — Claude Haiku 3.5 4.3%, 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, Claude Haiku 3.5 and Mistral Large yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 3.5 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?

Claude Haiku 3.5 has the largest context window at 200,000 tokens, against 128,000 for Mistral Large and 8,192 for Gemma 2 27B. Maximum output per response: Gemma 2 27B up to 2,048, Claude Haiku 3.5 up to 8,192, Mistral Large up to 102,400 tokens.

Which can read images, PDFs, audio or video?

Gemma 2 27B accepts text; Claude Haiku 3.5 accepts text, images and PDFs; Mistral Large accepts text and PDFs. Claude Haiku 3.5 handles the widest range of inputs.

Are any of these open source?

Gemma 2 27B publishes its weights and can be self-hosted; Claude Haiku 3.5 and Mistral Large is proprietary.

Which is newer?

Claude Haiku 3.5 is the newest, released Oct 22, 2024. Gemma 2 27B came out Jul 13, 2024; Mistral Large came out Feb 26, 2024. Knowledge cutoff: Gemma 2 27B Jun 30, 2024, Claude Haiku 3.5 Jul 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.

05 — Keep comparing

Related comparisons