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Comparison · 2 models · Updated Nov 2, 2026

Qwen3 Omni 30B A3B Thinking vs Claude Haiku 4.5

Qwen3 Omni 30B A3B Thinking comes out ahead, 59 to 47 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Alibaba (Qwen)

    Qwen3 Omni 30B A3B Thinking

    Released Sep 22, 2025

    59/100
    • ECI—
    • Price$0.25 / $0.97
    • Context66K
  2. Anthropic

    Claude Haiku 4.5

    Released Oct 15, 2025

    47/100
    • ECI142.2
    • Price$1.00 / $5.00
    • Context200K
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01 — Verdict

Qwen3 Omni 30B A3B Thinking is our pick

Qwen3 Omni 30B A3B Thinking is the better all-round choice, scoring 59/100 against Claude Haiku 4.5 (47). It leads on price. Claude Haiku 4.5 wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceQwen3 Omni 30B A3B ThinkingQwen3 Omni 30B A3B Thinking $0.43 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend)
  • Longest contextClaude Haiku 4.5Claude Haiku 4.5 200,000 · Qwen3 Omni 30B A3B Thinking 65,536 tokens
  • Widest inputsQwen3 Omni 30B A3B ThinkingQwen3 Omni 30B A3B Thinking: Text, Images, Audio, Video · Claude Haiku 4.5: Text, Images, PDFs
  • Self-hostingQwen3 Omni 30B A3B ThinkingPublishes downloadable weights (Apache-2.0)
How the score is built
MeasureWeightQwen3 Omni 30B A3B ThinkingClaude Haiku 4.5
Price50%6434
Inputs & features30%8080
Context window20%1232
Overall100%59/10047/100

Left out because at least one model lacks the data: capability. 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.

Qwen3 Omni 30B A3B Thinking vs Claude Haiku 4.5 specifications side by side
SpecificationQwen3 Omni 30B A3B ThinkingAlibaba (Qwen)Claude Haiku 4.5Anthropic
Capability
Capabilities Index (ECI)—142.2
ECI rank—#102 of 165
GPQA DiamondGraduate-level science questions—71.2%
OTIS Mock AIME 2024–2025Competition mathematics—66.7%
SimpleQA VerifiedShort factual questions—13.2%
Price per million tokens
Input$0.25 (best)$1.00
Output$0.97 (best)$5.00
Cached input—$0.10
Blended (3:1)$0.43 (best)$2.00
Long-context rateSame rateSame rate
Price sourceMedian of 1 providersOfficial Anthropic API
Limits
Context window65,536 tokens200,000 tokens (best)
Max output16,384 tokens64,000 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoYes
AudioYesNo
VideoYesNo
ReasoningYesYes
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenApache-2.0Proprietary
API model ID—claude-haiku-4-5
API providers148 (best)
ReleasedSep 22, 2025Oct 15, 2025
Knowledge cutoff—Feb 28, 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.

  • Qwen3 Omni 30B A3B Thinking$4.44
  • Claude Haiku 4.5$20.00
04 — Questions

Which should you choose?

Which is better: Qwen3 Omni 30B A3B Thinking or Claude Haiku 4.5?

Qwen3 Omni 30B A3B Thinking is the better all-round choice, scoring 59/100 against Claude Haiku 4.5 (47). It leads on price. Claude Haiku 4.5 wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Qwen3 Omni 30B A3B Thinking or Claude Haiku 4.5?

Qwen3 Omni 30B A3B Thinking is cheaper at $0.25 input / $0.97 output per million tokens (median across 1 API provider). Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $0.43 per million tokens for Qwen3 Omni 30B A3B Thinking versus $2.00 for Claude Haiku 4.5 (4.7× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Qwen3 Omni 30B A3B Thinking has not been scored yet and Claude Haiku 4.5 has an ECI of 142.2.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 Omni 30B A3B Thinking and Claude Haiku 4.5 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Claude Haiku 4.5 has the largest context window at 200,000 tokens, against 65,536 for Qwen3 Omni 30B A3B Thinking. Maximum output per response: Qwen3 Omni 30B A3B Thinking up to 16,384, Claude Haiku 4.5 up to 64,000 tokens.

Which can read images, PDFs, audio or video?

Qwen3 Omni 30B A3B Thinking accepts text, images, audio and video; Claude Haiku 4.5 accepts text, images and PDFs. Qwen3 Omni 30B A3B Thinking handles the widest range of inputs.

Are any of these open source?

Qwen3 Omni 30B A3B Thinking publishes its weights (Apache-2.0) and can be self-hosted; Claude Haiku 4.5 is proprietary.

Which is newer?

Claude Haiku 4.5 is the newest, released Oct 15, 2025. Qwen3 Omni 30B A3B Thinking came out Sep 22, 2025. Knowledge cutoff: Claude Haiku 4.5 Feb 28, 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 Nov 2, 2026.