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Comparison · 3 models · Updated Oct 4, 2026

Claude Haiku 4.5 vs Mixtral 8x7B vs Qwen3 Max

Claude Haiku 4.5 comes out ahead, 58 to 50 and 37 on our weighted score, though Mixtral 8x7B is 2.9× cheaper per token.

  1. Our pick

    Anthropic

    Claude Haiku 4.5

    Released Oct 15, 2025

    58/100
    • ECI142.4
    • Price$1.00 / $5.00
    • Context200K
    Full specs Remove Claude Haiku 4.5

  2. Mistral AI

    Mixtral 8x7B

    Released Dec 11, 2023

    37/100
    • ECI118.5
    • Price$0.70 / $0.70
    • Context32K
    Full specs Remove Mixtral 8x7B

  3. Alibaba (Qwen)

    Qwen3 Max

    Released Sep 23, 2025

    50/100
    • ECI142.4
    • Price$1.20 / $6.00
    • Context262K
    Full specs Remove Qwen3 Max
01 — Verdict

Claude Haiku 4.5 is our pick

Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against Qwen3 Max (50) and Mixtral 8x7B (37). It leads on inputs & features. Mixtral 8x7B wins on price. Qwen3 Max wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Haiku 4.5Capabilities Index (ECI): Claude Haiku 4.5 142.4 · Qwen3 Max 142.4 · Mixtral 8x7B 118.5
  • Lowest priceMixtral 8x7BMixtral 8x7B $0.70 · Claude Haiku 4.5 $2.00 · Qwen3 Max $2.40 per 1M tokens (3:1 blend)
  • Longest contextQwen3 MaxQwen3 Max 262,144 · Claude Haiku 4.5 200,000 · Mixtral 8x7B 32,000 tokens
  • Widest inputsClaude Haiku 4.5Claude Haiku 4.5: Text, Images, PDFs · Mixtral 8x7B: Text · Qwen3 Max: Text
  • Self-hostingMixtral 8x7BPublishes downloadable weights
How the score is built
MeasureWeightClaude Haiku 4.5Mixtral 8x7BQwen3 Max
CapabilityCapabilities Index (ECI)50%693868
Price25%365732
Inputs & features15%802525
Context window10%32037
Overall100%58/10037/10050/100
02 — Side by side

Every spec in one table

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

Claude Haiku 4.5 vs Mixtral 8x7B vs Qwen3 Max specifications side by side
SpecificationClaude Haiku 4.5AnthropicMixtral 8x7BMistral AIQwen3 MaxAlibaba (Qwen)
Capability
Capabilities Index (ECI)142.4 (best)118.5142.4
ECI rank#90 of 148 (best)#142 of 148#91 of 148
GPQA DiamondGraduate-level science questions71.2%30.6%72.6% (best)
FrontierMath Tiers 1–3Research-level mathematics——19.0%
OTIS Mock AIME 2024–2025Competition mathematics66.7%—73.3% (best)
SimpleQA VerifiedShort factual questions13.2%—48.8% (best)
Price per million tokens
Input$1.00$0.70 (best)$1.20
Output$5.00$0.70 (best)$6.00
Cached input$0.10——
Blended (3:1)$2.00$0.70 (best)$2.40
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Anthropic APIOfficial Mistral APIOfficial Alibaba API
Limits
Context window200,000 tokens32,000 tokens262,144 tokens (best)
Max output64,000 tokens32,000 tokens65,536 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesNoNo
PDFsYesNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesNoNo
Tool callingYesYesYes
Structured outputYesNoNo
Availability
WeightsProprietaryOpenProprietary
API model IDclaude-haiku-4-5open-mixtral-8x7bqwen3-max
API providers34 (best)116
ReleasedOct 15, 2025Dec 11, 2023Sep 23, 2025
Knowledge cutoffFeb 28, 2025Jan 2024Apr 2025
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 4.5$20.00
  • Mixtral 8x7B$8.40
  • Qwen3 Max$24.00
04 — Questions

Which should you choose?

Which is better: Claude Haiku 4.5, Mixtral 8x7B or Qwen3 Max?

Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against Qwen3 Max (50) and Mixtral 8x7B (37). It leads on inputs & features. Mixtral 8x7B wins on price. Qwen3 Max wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Claude Haiku 4.5, Mixtral 8x7B or Qwen3 Max?

Mixtral 8x7B is cheaper at $0.70 input / $0.70 output per million tokens (official Mistral API price). Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic API price); Qwen3 Max costs $1.20 input / $6.00 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.70 per million tokens for Mixtral 8x7B versus $2.00 for Claude Haiku 4.5 (2.9× as much) and $2.40 for Qwen3 Max (3.4× as much).

Which scores higher on benchmarks?

Claude Haiku 4.5 scores higher on the Capabilities Index (ECI): Claude Haiku 4.5 142.4 (#90 of 148), Qwen3 Max 142.4 (#91 of 148) and Mixtral 8x7B 118.5 (#142 of 148). The confidence ranges of the top two overlap (139.5–144.3 vs 140.0–144.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3 Max 72.6%, Claude Haiku 4.5 71.2%, Mixtral 8x7B 30.6%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Haiku 4.5, Mixtral 8x7B and Qwen3 Max yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 4.5 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?

Qwen3 Max has the largest context window at 262,144 tokens, against 200,000 for Claude Haiku 4.5 and 32,000 for Mixtral 8x7B. Maximum output per response: Claude Haiku 4.5 up to 64,000, Mixtral 8x7B up to 32,000, Qwen3 Max up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Claude Haiku 4.5 accepts text, images and PDFs; Mixtral 8x7B accepts text; Qwen3 Max accepts text. Claude Haiku 4.5 handles the widest range of inputs.

Are any of these open source?

Mixtral 8x7B publishes its weights and can be self-hosted; Claude Haiku 4.5 and Qwen3 Max is proprietary.

Which is newer?

Claude Haiku 4.5 is the newest, released Oct 15, 2025. Qwen3 Max came out Sep 23, 2025; Mixtral 8x7B came out Dec 11, 2023. Knowledge cutoff: Claude Haiku 4.5 Feb 28, 2025, Mixtral 8x7B Jan 2024, Qwen3 Max Apr 2025.

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 Oct 4, 2026.

05 — Keep comparing

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