LLM Reference

Mixtral 8x22B Instruct v0.3 vs Phi 3.5 MoE Instruct

Mixtral 8x22B Instruct v0.3 (2024) and Phi 3.5 MoE Instruct (2024) are compact production models from MistralAI and Microsoft Research. Mixtral 8x22B Instruct v0.3 ships a 64k-token context window, while Phi 3.5 MoE Instruct ships a 128k-token context window. On pricing, Phi 3.5 MoE Instruct costs $0.50/1M input tokens versus $2/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Phi 3.5 MoE Instruct is ~300% cheaper at $0.50/1M; pay for Mixtral 8x22B Instruct v0.3 only for provider fit.

Decision scorecard

Local evidence first
SignalMixtral 8x22B Instruct v0.3Phi 3.5 MoE Instruct
Best fortool-calling agentsgeneral production evaluation
Decision fitAgents and JSON / Tool useLong context
Context window64k128k
Cheapest output$2/1M tokens$0.50/1M tokens
Provider routes1 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Mixtral 8x22B Instruct v0.3 when...
  • Mixtral 8x22B Instruct v0.3 uniquely exposes Function calling in local model data.
  • Local decision data tags Mixtral 8x22B Instruct v0.3 for Agents and JSON / Tool use.
Choose Phi 3.5 MoE Instruct when...
  • Phi 3.5 MoE Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Phi 3.5 MoE Instruct has the lower cheapest tracked output price at $0.50/1M tokens.
  • Local decision data tags Phi 3.5 MoE Instruct for Long context.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Phi 3.5 MoE Instruct

Mixtral 8x22B Instruct v0.3

$2,100

Cheapest tracked route/tier: Replicate API

Phi 3.5 MoE Instruct

$525

Cheapest tracked route/tier: Fireworks AI

Estimated monthly gap: $1,575. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Mixtral 8x22B Instruct v0.3 -> Phi 3.5 MoE Instruct
  • No overlapping tracked provider route is sourced for Mixtral 8x22B Instruct v0.3 and Phi 3.5 MoE Instruct; plan for SDK, billing, or endpoint changes.
  • Phi 3.5 MoE Instruct is $1.50/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Function calling before moving production traffic.
Phi 3.5 MoE Instruct -> Mixtral 8x22B Instruct v0.3
  • No overlapping tracked provider route is sourced for Phi 3.5 MoE Instruct and Mixtral 8x22B Instruct v0.3; plan for SDK, billing, or endpoint changes.
  • Mixtral 8x22B Instruct v0.3 is $1.50/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Mixtral 8x22B Instruct v0.3 adds Function calling in local capability data.

Specs

Specification
Released2024-07-012024-08-20
Context window64k128k
Parameters8x22B16x3.8B (42B, 6.6B active)
Architecturemixture of expertsdecoder only
LicenseApache 2.0(OSI)MIT(OSI)
OpennessOpen sourceOpen source
Commercial useCommercial use allowedCommercial use allowed
Knowledge cutoff2024-012023-10

Pricing and availability

Pricing attributeMixtral 8x22B Instruct v0.3Phi 3.5 MoE Instruct
Input price$2/1M tokens$0.50/1M tokens
Output price$2/1M tokens$0.50/1M tokens
Providers

Capabilities

CapabilityMixtral 8x22B Instruct v0.3Phi 3.5 MoE Instruct
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingYesNo
Tool useNoNo
Structured outputsNoNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on function calling: Mixtral 8x22B Instruct v0.3. 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, Mixtral 8x22B Instruct v0.3 lists $2/1M input and $2/1M output tokens on the cheapest tracked provider, while Phi 3.5 MoE Instruct lists $0.50/1M input and $0.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Phi 3.5 MoE Instruct lower by about $1.50 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.

Choose Mixtral 8x22B Instruct v0.3 when provider fit are central to the workload. Choose Phi 3.5 MoE Instruct when long-context analysis, larger context windows, 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, Mixtral 8x22B Instruct v0.3 or Phi 3.5 MoE Instruct?

Phi 3.5 MoE Instruct supports 128k 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, Mixtral 8x22B Instruct v0.3 or Phi 3.5 MoE Instruct?

Phi 3.5 MoE Instruct is cheaper on tracked token pricing. Mixtral 8x22B Instruct v0.3 costs $2/1M input and $2/1M output tokens. Phi 3.5 MoE Instruct costs $0.50/1M input and $0.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Mixtral 8x22B Instruct v0.3 or Phi 3.5 MoE Instruct open source?

Mixtral 8x22B Instruct v0.3 is listed under Apache 2.0. Phi 3.5 MoE Instruct is listed under MIT. 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 function calling, Mixtral 8x22B Instruct v0.3 or Phi 3.5 MoE Instruct?

Mixtral 8x22B Instruct v0.3 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Mixtral 8x22B Instruct v0.3 and Phi 3.5 MoE Instruct?

Mixtral 8x22B Instruct v0.3 is available on Replicate API. Phi 3.5 MoE Instruct is available on Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Mixtral 8x22B Instruct v0.3 over Phi 3.5 MoE Instruct?

Phi 3.5 MoE Instruct is ~300% cheaper at $0.50/1M; pay for Mixtral 8x22B Instruct v0.3 only for provider fit. If your workload also depends on provider fit, start with Mixtral 8x22B Instruct v0.3; if it depends on long-context analysis, run the same evaluation with Phi 3.5 MoE Instruct.

Continue comparing

Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.