Claude Haiku 3 vs WizardLM 2 8x22B

Claude Haiku 3 is the better all-round choice, scoring 46/100 against WizardLM 2 8x22B (38). It leads on inputs & features and context window. WizardLM 2 8x22B wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond), because WizardLM 2 8x22B has no Capabilities Index score yet.

WizardLM 2 8x22B is cheaper at $0.493 input / $0.493 output per million tokens (median across 3 API providers). Claude Haiku 3 costs $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 $0.493 per million tokens for WizardLM 2 8x22B versus $0.50 for Claude Haiku 3 (1× as much).

Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond): WizardLM 2 8x22B 43.4% and Claude Haiku 3 36.3%. On individual benchmarks: GPQA Diamond — WizardLM 2 8x22B 43.4%, Claude Haiku 3 36.3%.

There are no published SWE-bench Verified results for Claude Haiku 3 and WizardLM 2 8x22B yet, so there is no like-for-like coding score. On overall capability, WizardLM 2 8x22B leads, which tends to carry over to coding, but test on your own codebase. Note that WizardLM 2 8x22B does not support tool calling, which most coding agents need.

Claude Haiku 3 has the largest context window at 200,000 tokens, against 65,536 for WizardLM 2 8x22B. Maximum output per response: Claude Haiku 3 up to 4,096, WizardLM 2 8x22B up to 8,000 tokens.

Claude Haiku 3 accepts text, images and PDFs; WizardLM 2 8x22B accepts text. Claude Haiku 3 handles the widest range of inputs.

WizardLM 2 8x22B publishes its weights (Apache-2.0) and can be self-hosted; Claude Haiku 3 is proprietary.

WizardLM 2 8x22B is the newest, released Apr 15, 2024. Claude Haiku 3 came out Mar 13, 2024. Knowledge cutoff: Claude Haiku 3 Aug 31, 2023.

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.