ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Claude Haiku 3.5 vs Mistral Large vs Mistral Large 2.1

Too close to call on our weighted score (Claude Haiku 3.5 46, Mistral Large 44, Mistral Large 2.1 38). The right pick depends on what you value most.

  1. Anthropic

    Claude Haiku 3.5

    Released Oct 22, 2024

    46/100
    • ECI127.0
    • Price$0.80 / $4.00
    • Context200K
  2. Mistral AI

    Mistral Large

    Released Feb 26, 2024

    44/100
    • ECI122.0
    • Price$0.50 / $1.50
    • Context128K
  3. Mistral AI

    Mistral Large 2.1

    Released Nov 18, 2024

    38/100
    • ECI128.6
    • Price$2.00 / $6.00
    • Context131K
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, Mistral Large 2.1 38/100), so choose by what matters most for your work: Mistral Large 2.1 for raw capability, Mistral Large on price and Claude Haiku 3.5 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMistral Large 2.1Capabilities Index (ECI): Mistral Large 2.1 128.6 · Claude Haiku 3.5 127.0 · Mistral Large 122.0
  • Lowest priceMistral LargeMistral Large $0.75 · Claude Haiku 3.5 $1.60 · Mistral Large 2.1 $3.00 per 1M tokens (3:1 blend)
  • Longest contextClaude Haiku 3.5Claude Haiku 3.5 200,000 · Mistral Large 2.1 131,072 · Mistral Large 128,000 tokens
  • Widest inputsClaude Haiku 3.5Claude Haiku 3.5: Text, Images, PDFs · Mistral Large: Text, PDFs · Mistral Large 2.1: Text
  • Self-hostingMistral Large 2.1Publishes downloadable weights
How the score is built
MeasureWeightClaude Haiku 3.5Mistral LargeMistral Large 2.1
CapabilityCapabilities Index (ECI)50%484250
Price25%385326
Inputs & features15%604525
Context window10%322425
Overall100%46/10044/10038/100
02 — Side by side

Every spec in one table

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

Claude Haiku 3.5 vs Mistral Large vs Mistral Large 2.1 specifications side by side
SpecificationClaude Haiku 3.5AnthropicMistral LargeMistral AIMistral Large 2.1Mistral AI
Capability
Capabilities Index (ECI)127.0122.0128.6 (best)
ECI rank#147 of 165#153 of 165#142 of 165 (best)
GPQA DiamondGraduate-level science questions38.1%38.8%51.3% (best)
OTIS Mock AIME 2024–2025Competition mathematics4.3%1.9%7.8% (best)
Price per million tokens
Input$0.80$0.50 (best)$2.00
Output$4.00$1.50 (best)$6.00
Cached input—$0.05—
Blended (3:1)$1.60$0.75 (best)$3.00
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 3 providersOfficial Mistral APIMedian of 2 providers
Limits
Context window200,000 tokens (best)128,000 tokens131,072 tokens
Max output8,192 tokens102,400 tokens (best)16,384 tokens
Inputs and features
TextYesYesYes
ImagesYesNoNo
PDFsYesYesNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputNoYesNo
Availability
WeightsProprietaryProprietaryOpen
API model ID—mistral-large-latest—
API providers411 (best)2
ReleasedOct 22, 2024Feb 26, 2024Nov 18, 2024
Knowledge cutoffJul 31, 2024Nov 30, 2024Nov 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.

  • Claude Haiku 3.5$16.00
  • Mistral Large$8.00
  • Mistral Large 2.1$32.00
04 — Questions

Which should you choose?

Which is better: Claude Haiku 3.5, Mistral Large or Mistral Large 2.1?

It is close. Our weighted score puts them within 2 points (Claude Haiku 3.5 46/100, Mistral Large 44/100, Mistral Large 2.1 38/100), so choose by what matters most for your work: Mistral Large 2.1 for raw capability, Mistral Large on price and Claude Haiku 3.5 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Claude Haiku 3.5, Mistral Large or Mistral Large 2.1?

Mistral Large is cheaper at $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); Mistral Large 2.1 costs $2.00 input / $6.00 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.75 per million tokens for Mistral Large versus $1.60 for Claude Haiku 3.5 (2.1× as much) and $3.00 for Mistral Large 2.1 (4× as much).

Which scores higher on benchmarks?

Mistral Large 2.1 scores higher on the Capabilities Index (ECI): Mistral Large 2.1 128.6 (#142 of 165), Claude Haiku 3.5 127.0 (#147 of 165) and Mistral Large 122.0 (#153 of 165). The confidence ranges of the top two overlap (124.3–130.7 vs 121.4–129.2), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Large 2.1 51.3%, Mistral Large 38.8%, Claude Haiku 3.5 38.1%; OTIS Mock AIME 2024–2025 — Mistral Large 2.1 7.8%, Claude Haiku 3.5 4.3%, Mistral Large 1.9%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Haiku 3.5, Mistral Large and Mistral Large 2.1 yet, so there is no like-for-like coding score. On overall capability, Mistral Large 2.1 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

Claude Haiku 3.5 has the largest context window at 200,000 tokens, against 131,072 for Mistral Large 2.1 and 128,000 for Mistral Large. Maximum output per response: Claude Haiku 3.5 up to 8,192, Mistral Large up to 102,400, Mistral Large 2.1 up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Claude Haiku 3.5 accepts text, images and PDFs; Mistral Large accepts text and PDFs; Mistral Large 2.1 accepts text. Claude Haiku 3.5 handles the widest range of inputs.

Are any of these open source?

Mistral Large 2.1 publishes its weights and can be self-hosted; Claude Haiku 3.5 and Mistral Large is proprietary.

Which is newer?

Mistral Large 2.1 is the newest, released Nov 18, 2024. Claude Haiku 3.5 came out Oct 22, 2024; Mistral Large came out Feb 26, 2024. Knowledge cutoff: Claude Haiku 3.5 Jul 31, 2024, Mistral Large Nov 30, 2024, Mistral Large 2.1 Nov 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.