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Claude Sonnet 4.5 vs Mixtral 8x22B v0.1

Claude Sonnet 4.5 (2025) and Mixtral 8x22B v0.1 (2024) are frontier reasoning models from Anthropic and MistralAI. Claude Sonnet 4.5 ships a 200K-token context window, while Mixtral 8x22B v0.1 ships a 64K-token context window. On pricing, Mixtral 8x22B v0.1 costs $0.3/1M input tokens versus $3/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Mixtral 8x22B v0.1 is ~900% cheaper at $0.3/1M; pay for Claude Sonnet 4.5 only for reasoning depth.

Specs

Released2025-09-292024-04-17
Context window200K64K
Parameters8x22B
Architecturedecoder onlymixture of experts
LicenseProprietaryApache 2.0
Knowledge cutoff2025-12-

Pricing and availability

Claude Sonnet 4.5Mixtral 8x22B v0.1
Input price$3/1M tokens$0.3/1M tokens
Output price$15/1M tokens$0.9/1M tokens
Providers

Capabilities

Claude Sonnet 4.5Mixtral 8x22B v0.1
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 Sonnet 4.5, multimodal input: Claude Sonnet 4.5, reasoning mode: Claude Sonnet 4.5, function calling: Claude Sonnet 4.5, tool use: Claude Sonnet 4.5, and structured outputs: Claude Sonnet 4.5. Both models share the core language-model surface, 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 Sonnet 4.5 lists $3/1M input and $15/1M output tokens, while Mixtral 8x22B v0.1 lists $0.3/1M input and $0.9/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mixtral 8x22B v0.1 lower by about $6.12 per million blended tokens. Availability is 8 providers versus 8, so concentration risk also matters.

Choose Claude Sonnet 4.5 when reasoning depth and larger context windows are central to the workload. Choose Mixtral 8x22B v0.1 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 Sonnet 4.5 or Mixtral 8x22B v0.1?

Claude Sonnet 4.5 supports 200K tokens, while Mixtral 8x22B v0.1 supports 64K 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 Sonnet 4.5 or Mixtral 8x22B v0.1?

Mixtral 8x22B v0.1 is cheaper on tracked token pricing. Claude Sonnet 4.5 costs $3/1M input and $15/1M output tokens. Mixtral 8x22B v0.1 costs $0.3/1M input and $0.9/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Claude Sonnet 4.5 or Mixtral 8x22B v0.1 open source?

Claude Sonnet 4.5 is listed under Proprietary. Mixtral 8x22B v0.1 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 Sonnet 4.5 or Mixtral 8x22B v0.1?

Claude Sonnet 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 Sonnet 4.5 or Mixtral 8x22B v0.1?

Claude Sonnet 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 Sonnet 4.5 and Mixtral 8x22B v0.1?

Claude Sonnet 4.5 is available on Microsoft Foundry, Anthropic, Snowflake Cortex, GCP Vertex AI, and AWS Bedrock. Mixtral 8x22B v0.1 is available on NVIDIA NIM, OctoAI API, Fireworks AI, DeepInfra, and Baseten API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

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