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GPT-5.5 vs Mixtral 8x22B Instruct

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GPT-5.5 and Mixtral 8x22B Instruct.

OpenAI

GPT-5.5

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

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Mistral

Mixtral 8x22B Instruct

Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...

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Technical Specifications

SpecificationGPT-5.5Mixtral 8x22B Instruct
ProviderOpenAIMistral
Context Window1,050,000 tokens65,536 tokens
Agent Suitability95/100N/A
Time to First Token (TTFT)380 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-242024-04-17

API Pricing Comparison

Input Price per Million Tokens

GPT-5.5

$5.00

Mixtral 8x22B Instruct

$2.00

Output Price per Million Tokens

GPT-5.5

$30.00

Mixtral 8x22B Instruct

$6.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9420.0%vsN/A
GPT-5.5
Mixtral 8x22B Instruct
HumanEvalPython coding & logic synthesis
9680.0%vsN/A
GPT-5.5
Mixtral 8x22B Instruct
MATHComplex mathematical problem solving
9350.0%vsN/A
GPT-5.5
Mixtral 8x22B Instruct
GPQAGraduate-level expert reasoning
8420.0%vsN/A
GPT-5.5
Mixtral 8x22B Instruct
HellaSwagCommonsense reasoning and inference
9900.0%vsN/A
GPT-5.5
Mixtral 8x22B Instruct
MT-BenchMulti-turn conversation flow quality
970.0%vsN/A
GPT-5.5
Mixtral 8x22B Instruct

GPT-5.5 Quirks & Gotchas

  • Best for JSON schema adherence — strict mode available via response_format parameter
  • Requires explicit tool_choice for deterministic function calling

Mixtral 8x22B Instruct Quirks & Gotchas

No developer gotchas reported.