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Claude Haiku 4.5 vs Qwen3-235B-A22B

Claude Haiku 4.5 (2025) and Qwen3-235B-A22B (2025) are compact production models from Anthropic and Alibaba. Claude Haiku 4.5 ships a 200k-token context window, while Qwen3-235B-A22B ships a 128K-token context window. On pricing, Qwen3-235B-A22B costs $0.4/1M input tokens versus $0.8/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

Qwen3-235B-A22B is ~100% cheaper at $0.4/1M; pay for Claude Haiku 4.5 only for coding workflow support.

Specs

Released2025-10-012025-01-01
Context window200k128K
Parameters235B
Architecturedecoder onlydecoder only
LicenseProprietaryApache 2.0
Knowledge cutoff2025-02-

Pricing and availability

Claude Haiku 4.5Qwen3-235B-A22B
Input price$0.8/1M tokens$0.4/1M tokens
Output price$4/1M tokens$1.2/1M tokens
Providers

Capabilities

Claude Haiku 4.5Qwen3-235B-A22B
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Claude Haiku 4.5, multimodal input: Claude Haiku 4.5, function calling: Claude Haiku 4.5, tool use: Claude Haiku 4.5, and code execution: Claude Haiku 4.5. Both models share structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

For cost, Claude Haiku 4.5 lists $0.8/1M input and $4/1M output tokens, while Qwen3-235B-A22B lists $0.4/1M input and $1.2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3-235B-A22B lower by about $1.12 per million blended tokens. Availability is 8 providers versus 3, so concentration risk also matters.

Choose Claude Haiku 4.5 when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Qwen3-235B-A22B when provider fit and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.

FAQ

Which has a larger context window, Claude Haiku 4.5 or Qwen3-235B-A22B?

Claude Haiku 4.5 supports 200k tokens, while Qwen3-235B-A22B supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Claude Haiku 4.5 or Qwen3-235B-A22B?

Qwen3-235B-A22B is cheaper on tracked token pricing. Claude Haiku 4.5 costs $0.8/1M input and $4/1M output tokens. Qwen3-235B-A22B costs $0.4/1M input and $1.2/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Claude Haiku 4.5 or Qwen3-235B-A22B open source?

Claude Haiku 4.5 is listed under Proprietary. Qwen3-235B-A22B is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for vision, Claude Haiku 4.5 or Qwen3-235B-A22B?

Claude Haiku 4.5 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for multimodal input, Claude Haiku 4.5 or Qwen3-235B-A22B?

Claude Haiku 4.5 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Claude Haiku 4.5 and Qwen3-235B-A22B?

Claude Haiku 4.5 is available on Microsoft Foundry, Anthropic, Snowflake Cortex, AWS Bedrock, and GCP Vertex AI. Qwen3-235B-A22B is available on Fireworks AI, AWS Bedrock, and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.