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Comparison · 2 models · Updated Nov 2, 2026

Mixtral 8x22B Instruct vs Claude Haiku 3.5

Claude Haiku 3.5 comes out ahead, 46 to 34 on our weighted score, and it is the cheaper option too.

  1. Mistral AI

    Mixtral 8x22B Instruct

    Released Apr 17, 2024

    34/100
    • ECI122.0
    • Price$2.00 / $6.00
    • Context66K
    Full specs Remove Mixtral 8x22B Instruct
  2. Our pick

    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. Add a model

    Make it a three-way comparison.

01 — Verdict

Claude Haiku 3.5 is our pick

Claude Haiku 3.5 is the better all-round choice, scoring 46/100 against Mixtral 8x22B Instruct (34). It leads on capability, price, inputs & features and context window. 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 · Mixtral 8x22B Instruct 122.0
  • Lowest priceClaude Haiku 3.5Claude Haiku 3.5 $1.60 · Mixtral 8x22B Instruct $3.00 per 1M tokens (3:1 blend)
  • Longest contextClaude Haiku 3.5Claude Haiku 3.5 200,000 · Mixtral 8x22B Instruct 65,536 tokens
  • Widest inputsClaude Haiku 3.5Mixtral 8x22B Instruct: Text, PDFs · Claude Haiku 3.5: Text, Images, PDFs
  • Self-hostingMixtral 8x22B InstructPublishes downloadable weights
How the score is built
MeasureWeightMixtral 8x22B InstructClaude Haiku 3.5
CapabilityCapabilities Index (ECI)50%4248
Price25%2638
Inputs & features15%3560
Context window10%1232
Overall100%34/10046/100
02 — Side by side

Every spec in one table

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

Mixtral 8x22B Instruct vs Claude Haiku 3.5 specifications side by side
SpecificationMixtral 8x22B InstructMistral AIClaude Haiku 3.5Anthropic
Capability
Capabilities Index (ECI)122.0127.0 (best)
ECI rank#155 of 165#147 of 165 (best)
GPQA DiamondGraduate-level science questions34.1%38.1% (best)
OTIS Mock AIME 2024–2025Competition mathematics—4.3%
Price per million tokens
Input$2.00$0.80 (best)
Output$6.00$4.00 (best)
Cached input——
Blended (3:1)$3.00$1.60 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 5 providersMedian of 3 providers
Limits
Context window65,536 tokens200,000 tokens (best)
Max output52,428 tokens (best)8,192 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsYesYes
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenProprietary
API model ID——
API providers5 (best)4
ReleasedApr 17, 2024Oct 22, 2024
Knowledge cutoffJan 31, 2024Jul 31, 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.

  • Mixtral 8x22B Instruct$32.00
  • Claude Haiku 3.5$16.00
04 — Questions

Which should you choose?

Which is better: Mixtral 8x22B Instruct or Claude Haiku 3.5?

Claude Haiku 3.5 is the better all-round choice, scoring 46/100 against Mixtral 8x22B Instruct (34). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mixtral 8x22B Instruct or Claude Haiku 3.5?

Claude Haiku 3.5 is cheaper at $0.80 input / $4.00 output per million tokens (median across 3 API providers). Mixtral 8x22B Instruct costs $2.00 input / $6.00 output per million tokens (median across 5 API providers). At a typical mix of three input tokens to one output token, that is $1.60 per million tokens for Claude Haiku 3.5 versus $3.00 for Mixtral 8x22B Instruct (1.9× 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) and Mixtral 8x22B Instruct 122.0 (#155 of 165). The confidence ranges of the top two overlap (121.4–129.2 vs 115.7–124.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Haiku 3.5 38.1%, Mixtral 8x22B Instruct 34.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Mixtral 8x22B Instruct and Claude Haiku 3.5 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. Both 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 65,536 for Mixtral 8x22B Instruct. Maximum output per response: Mixtral 8x22B Instruct up to 52,428, Claude Haiku 3.5 up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Mixtral 8x22B Instruct accepts text and PDFs; Claude Haiku 3.5 accepts text, images and PDFs. Claude Haiku 3.5 handles the widest range of inputs.

Are any of these open source?

Mixtral 8x22B Instruct publishes its weights and can be self-hosted; Claude Haiku 3.5 is proprietary.

Which is newer?

Claude Haiku 3.5 is the newest, released Oct 22, 2024. Mixtral 8x22B Instruct came out Apr 17, 2024. Knowledge cutoff: Mixtral 8x22B Instruct Jan 31, 2024, Claude Haiku 3.5 Jul 31, 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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