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Comparison · 2 models · Updated Nov 2, 2026

Mistral 7B Instruct v0.3 vs Claude Haiku 3

Claude Haiku 3 comes out ahead, 42 to 22 on our weighted score, and it is the cheaper option too.

  1. Mistral AI

    Mistral 7B Instruct v0.3

    Released May 22, 2024

    22/100
    • ECI109.0
    • Price—
    • Context33K
    Full specs Remove Mistral 7B Instruct v0.3
  2. Our pick

    Anthropic

    Claude Haiku 3

    Released Mar 13, 2024

    42/100
    • ECI118.8
    • Price$0.25 / $1.25
    • Context200K
    Full specs Remove Claude Haiku 3

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Claude Haiku 3 is our pick

Claude Haiku 3 is the better all-round choice, scoring 42/100 against Mistral 7B Instruct v0.3 (22). It leads on capability, inputs & features and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.

  • CapabilityClaude Haiku 3Capabilities Index (ECI): Claude Haiku 3 118.8 · Mistral 7B Instruct v0.3 109.0
  • Lowest priceClaude Haiku 3Claude Haiku 3 $0.50 per 1M tokens (3:1 blend) · Mistral 7B Instruct v0.3 unpriced
  • Longest contextClaude Haiku 3Claude Haiku 3 200,000 · Mistral 7B Instruct v0.3 32,768 tokens
  • Widest inputsClaude Haiku 3Mistral 7B Instruct v0.3: Text · Claude Haiku 3: Text, Images, PDFs
  • Self-hostingMistral 7B Instruct v0.3Publishes downloadable weights (Apache 2.0)
How the score is built
MeasureWeightMistral 7B Instruct v0.3Claude Haiku 3
CapabilityCapabilities Index (ECI)67%2638
Inputs & features20%2560
Context window13%032
Overall100%22/10042/100

Left out because at least one model lacks the data: price. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

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

Mistral 7B Instruct v0.3 vs Claude Haiku 3 specifications side by side
SpecificationMistral 7B Instruct v0.3Mistral AIClaude Haiku 3Anthropic
Capability
Capabilities Index (ECI)109.0118.8 (best)
ECI rank#164 of 165#156 of 165 (best)
GPQA DiamondGraduate-level science questions15.2%36.3% (best)
OTIS Mock AIME 2024–2025Competition mathematics0.3%1.8% (best)
Price per million tokens
Input—$0.25
Output—$1.25
Cached input——
Blended (3:1)—$0.50
Long-context rate—Same rate
Price source—Median of 3 providers
Limits
Context window32,768 tokens200,000 tokens (best)
Max output32,768 tokens (best)4,096 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoYes
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenApache 2.0Proprietary
API model ID——
API providers13 (best)
ReleasedMay 22, 2024Mar 13, 2024
Knowledge cutoff—Aug 31, 2023
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 7B Instruct v0.3—
  • Claude Haiku 3$5.00
04 — Questions

Which should you choose?

Which is better: Mistral 7B Instruct v0.3 or Claude Haiku 3?

Claude Haiku 3 is the better all-round choice, scoring 42/100 against Mistral 7B Instruct v0.3 (22). It leads on capability, inputs & features and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.

Which is cheaper, Mistral 7B Instruct v0.3 or Claude Haiku 3?

Claude Haiku 3 is cheaper at $0.25 input / $1.25 output per million tokens (median across 3 API providers). . At a typical mix of three input tokens to one output token, that is $0.50 per million tokens for Claude Haiku 3 versus . Mistral 7B Instruct v0.3 has no published per-token price.

Which scores higher on benchmarks?

Claude Haiku 3 scores higher on the Capabilities Index (ECI): Claude Haiku 3 118.8 (#156 of 165) and Mistral 7B Instruct v0.3 109.0 (#164 of 165). The confidence ranges of the top two overlap (111.7–121.4 vs 98.5–112.7), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Haiku 3 36.3%, Mistral 7B Instruct v0.3 15.2%; OTIS Mock AIME 2024–2025 — Claude Haiku 3 1.8%, Mistral 7B Instruct v0.3 0.3%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral 7B Instruct v0.3 and Claude Haiku 3 yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 3 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Claude Haiku 3 has the largest context window at 200,000 tokens, against 32,768 for Mistral 7B Instruct v0.3. Maximum output per response: Mistral 7B Instruct v0.3 up to 32,768, Claude Haiku 3 up to 4,096 tokens.

Which can read images, PDFs, audio or video?

Mistral 7B Instruct v0.3 accepts text; Claude Haiku 3 accepts text, images and PDFs. Claude Haiku 3 handles the widest range of inputs.

Are any of these open source?

Mistral 7B Instruct v0.3 publishes its weights (Apache 2.0) and can be self-hosted; Claude Haiku 3 is proprietary.

Which is newer?

Mistral 7B Instruct v0.3 is the newest, released May 22, 2024. Claude Haiku 3 came out Mar 13, 2024. Knowledge cutoff: Claude Haiku 3 Aug 31, 2023.

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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