LLM Reference

GPT-5.5 vs Mixtral 8x7B

GPT-5.5 (2026) and Mixtral 8x7B (2023) are frontier reasoning models from OpenAI and MistralAI. GPT-5.5 ships a 1.05m-token context window, while Mixtral 8x7B ships a 32k-token context window. On Google-Proof Q&A, GPT-5.5 leads by 38.8 pts. On pricing, GPT-5.5 ranges from $5 to $8/1M input tokens by tier; Mixtral 8x7B costs $0.15/1M input tokens. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

GPT-5.5 fits 33x more tokens; pick it for long-context work and Mixtral 8x7B for tighter calls.

Decision scorecard

Local evidence first
SignalGPT-5.5Mixtral 8x7B
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsprovider-routed production
Decision fitCoding, RAG, and AgentsCoding and Classification
Context window1.05m32k
Cheapest output$30/1M tokens$0.45/1M tokens
Provider routes4 tracked18 tracked
Shared benchmarksGoogle-Proof Q&A leader3 shared

Decision tradeoffs

Choose GPT-5.5 when...
  • GPT-5.5 holds a shared-benchmark lead on Google-Proof Q&A, ahead by 38.8 points.
  • GPT-5.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • GPT-5.5 uniquely exposes Vision, Multimodal, and Reasoning in local model data.
  • Local decision data tags GPT-5.5 for Coding, RAG, and Agents.
Choose Mixtral 8x7B when...
  • Mixtral 8x7B has the lower cheapest tracked output price at $0.45/1M tokens.
  • Mixtral 8x7B has broader tracked provider coverage for fallback and route flexibility.
  • Local decision data tags Mixtral 8x7B for Coding and Classification.

Monthly cost at traffic

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

Lower estimate Mixtral 8x7B

GPT-5.5

$11,500

Cheapest tracked route/tier: OpenAI API 0-272K input tokens

Mixtral 8x7B

$233

Cheapest tracked route/tier: Mistral AI Studio

Estimated monthly gap: $11,268. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

GPT-5.5 -> Mixtral 8x7B
  • Provider overlap exists on AWS Bedrock; start route-level A/B tests there.
  • Mixtral 8x7B is $29.55/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Mixtral 8x7B -> GPT-5.5
  • Provider overlap exists on AWS Bedrock; start route-level A/B tests there.
  • GPT-5.5 is $29.55/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • GPT-5.5 adds Vision, Multimodal, and Reasoning in local capability data.

Specs

Specification
Released2026-04-232023-12-11
Context window1.05m32k
Parameters8x7B
ArchitectureDecoder OnlyMixture of Experts
LicenseProprietaryApache 2.0OSI-approved
OpennessProprietaryOpen source
WeightsNot releasedUnknown
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff2025-122023-12

Pricing and availability

Pricing attributeGPT-5.5Mixtral 8x7B
Input price
0-272K input tokens
$5/1M tokens
Standard GPT-5.5 token pricing before the long-context surcharge threshold.
272K+ input tokens
$8/1M tokens
Long-context surcharge applies above 272K input tokens for the full session.
$0.15/1M tokens
Output price
0-272K input tokens
$30/1M tokens
Standard GPT-5.5 token pricing before the long-context surcharge threshold.
272K+ input tokens
$36/1M tokens
Long-context surcharge applies above 272K input tokens for the full session.
$0.45/1M tokens
Providers

Capabilities

CapabilityGPT-5.5Mixtral 8x7B
VisionYesNo
MultimodalYesNo
ReasoningYesNo
JSON / Tool useYesNo
Structured outputsYesNo
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGPT-5.5Mixtral 8x7B
Google-Proof Q&A93.654.8
HumanEval94.280.5
Massive Multitask Language Understanding92.480.2

Continue comparing

Last reviewed: 2026-07-11. Data sourced from public model cards and provider documentation.