ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Mistral Large vs Claude Haiku 3 vs Gemma 2 27B

Too close to call on our weighted score (Claude Haiku 3 46, Mistral Large 44, Gemma 2 27B 35). The right pick depends on what you value most.

  1. Mistral AI

    Mistral Large

    Released Feb 26, 2024

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

  2. Anthropic

    Claude Haiku 3

    Released Mar 13, 2024

    46/100
    • ECI118.8
    • Price$0.25 / $1.25
    • Context200K
    Full specs Remove Claude Haiku 3

  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

Too close to call

It is close. Our weighted score puts them within 3 points (Claude Haiku 3 46/100, Mistral Large 44/100, Gemma 2 27B 35/100), so choose by what matters most for your work: Gemma 2 27B for raw capability, Claude Haiku 3 on price and Claude Haiku 3 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 · Mistral Large 122.0 · Claude Haiku 3 118.8
  • Lowest priceClaude Haiku 3Claude Haiku 3 $0.50 · Gemma 2 27B $0.65 · Mistral Large $0.75 per 1M tokens (3:1 blend)
  • Longest contextClaude Haiku 3Claude Haiku 3 200,000 · Mistral Large 128,000 · Gemma 2 27B 8,192 tokens
  • Widest inputsClaude Haiku 3Mistral Large: Text, PDFs · Claude Haiku 3: Text, Images, PDFs · Gemma 2 27B: Text
  • Self-hostingGemma 2 27BPublishes downloadable weights
How the score is built
MeasureWeightMistral LargeClaude Haiku 3Gemma 2 27B
CapabilityCapabilities Index (ECI)50%423842
Price25%536156
Inputs & features15%45600
Context window10%24320
Overall100%44/10046/10035/100
02 — Side by side

Every spec in one table

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

Mistral Large vs Claude Haiku 3 vs Gemma 2 27B specifications side by side
SpecificationMistral LargeMistral AIClaude Haiku 3AnthropicGemma 2 27BGoogle
Capability
Capabilities Index (ECI)122.0118.8122.1 (best)
ECI rank#153 of 165#156 of 165#152 of 165 (best)
GPQA DiamondGraduate-level science questions38.8% (best)36.3%36.5%
OTIS Mock AIME 2024–2025Competition mathematics1.9% (best)1.8%1.4%
Price per million tokens
Input$0.50$0.25 (best)$0.65
Output$1.50$1.25$0.65 (best)
Cached input$0.05——
Blended (3:1)$0.75$0.50 (best)$0.65
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Mistral APIMedian of 3 providersMedian of 3 providers
Limits
Context window128,000 tokens200,000 tokens (best)8,192 tokens
Max output102,400 tokens (best)4,096 tokens2,048 tokens
Inputs and features
TextYesYesYes
ImagesNoYesNo
PDFsYesYesNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesNo
Structured outputYesNoNo
Availability
WeightsProprietaryProprietaryOpen
API model IDmistral-large-latest——
API providers11 (best)33
ReleasedFeb 26, 2024Mar 13, 2024Jul 13, 2024
Knowledge cutoffNov 30, 2024Aug 31, 2023Jun 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.

  • Mistral Large$8.00
  • Claude Haiku 3$5.00
  • Gemma 2 27B$7.80
04 — Questions

Which should you choose?

Which is better: Mistral Large, Claude Haiku 3 or Gemma 2 27B?

It is close. Our weighted score puts them within 3 points (Claude Haiku 3 46/100, Mistral Large 44/100, Gemma 2 27B 35/100), so choose by what matters most for your work: Gemma 2 27B for raw capability, Claude Haiku 3 on price and Claude Haiku 3 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Large, Claude Haiku 3 or Gemma 2 27B?

Claude Haiku 3 is cheaper at $0.25 input / $1.25 output per million tokens (median across 3 API providers). 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 $0.50 per million tokens for Claude Haiku 3 versus $0.65 for Gemma 2 27B (1.3× as much) and $0.75 for Mistral Large (1.5× 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 Claude Haiku 3 118.8 (#156 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%, Claude Haiku 3 36.3%; OTIS Mock AIME 2024–2025 — Mistral Large 1.9%, Claude Haiku 3 1.8%, Gemma 2 27B 1.4%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Large, Claude Haiku 3 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 Gemma 2 27B does not support tool calling, which most coding agents need.

Which has the bigger context window?

Claude Haiku 3 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: Mistral Large up to 102,400, Claude Haiku 3 up to 4,096, Gemma 2 27B up to 2,048 tokens.

Which can read images, PDFs, audio or video?

Mistral Large accepts text and PDFs; Claude Haiku 3 accepts text, images and PDFs; Gemma 2 27B accepts text. Claude Haiku 3 handles the widest range of inputs.

Are any of these open source?

Gemma 2 27B publishes its weights and can be self-hosted; Mistral Large and Claude Haiku 3 is proprietary.

Which is newer?

Gemma 2 27B is the newest, released Jul 13, 2024. Claude Haiku 3 came out Mar 13, 2024; Mistral Large came out Feb 26, 2024. Knowledge cutoff: Mistral Large Nov 30, 2024, Claude Haiku 3 Aug 31, 2023, 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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