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Grok 4.20 vs Mixtral 8x22B Instruct v0.3

Grok 4.20 (2026) and Mixtral 8x22B Instruct v0.3 (2024) are frontier reasoning models from xAI and MistralAI. Grok 4.20 ships a 2M-token context window, while Mixtral 8x22B Instruct v0.3 ships a 64K-token context window. On pricing, Mixtral 8x22B Instruct v0.3 costs $2/1M input tokens versus $4.2/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Mixtral 8x22B Instruct v0.3 is ~110% cheaper at $2/1M; pay for Grok 4.20 only for reasoning depth.

Specs

Released2026-01-012024-07-01
Context window2M64K
Parameters8x22B
Architecture-mixture of experts
LicenseProprietaryApache 2.0
Knowledge cutoff--

Pricing and availability

Grok 4.20Mixtral 8x22B Instruct v0.3
Input price$4.2/1M tokens$2/1M tokens
Output price$12.60/1M tokens$2/1M tokens
Providers

Capabilities

Grok 4.20Mixtral 8x22B Instruct v0.3
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 reasoning mode: Grok 4.20, tool use: Grok 4.20, and structured outputs: Grok 4.20. Both models share function calling, 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, Grok 4.20 lists $4.2/1M input and $12.60/1M output tokens, while Mixtral 8x22B Instruct v0.3 lists $2/1M input and $2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mixtral 8x22B Instruct v0.3 lower by about $4.72 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.

Choose Grok 4.20 when reasoning depth and larger context windows are central to the workload. Choose Mixtral 8x22B Instruct v0.3 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. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Which has a larger context window, Grok 4.20 or Mixtral 8x22B Instruct v0.3?

Grok 4.20 supports 2M tokens, while Mixtral 8x22B Instruct v0.3 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, Grok 4.20 or Mixtral 8x22B Instruct v0.3?

Mixtral 8x22B Instruct v0.3 is cheaper on tracked token pricing. Grok 4.20 costs $4.2/1M input and $12.60/1M output tokens. Mixtral 8x22B Instruct v0.3 costs $2/1M input and $2/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Grok 4.20 or Mixtral 8x22B Instruct v0.3 open source?

Grok 4.20 is listed under Proprietary. Mixtral 8x22B Instruct v0.3 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 reasoning mode, Grok 4.20 or Mixtral 8x22B Instruct v0.3?

Grok 4.20 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for function calling, Grok 4.20 or Mixtral 8x22B Instruct v0.3?

Both Grok 4.20 and Mixtral 8x22B Instruct v0.3 expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Grok 4.20 and Mixtral 8x22B Instruct v0.3?

Grok 4.20 is available on xAI Console. Mixtral 8x22B Instruct v0.3 is available on Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Continue comparing

Last reviewed: 2026-04-19. Data sourced from public model cards and provider documentation.