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GPT-5.5 vs Mistral Large 3

OpenAI's premium flagship vs Mistral's budget champion. Mistral Large 3 is 90% cheaper on input and 95% cheaper on output — the most dramatic price gap in this tier. GPT-5.5 offers 4x the context, but is it worth 20x the cost?

Pricing data verified: Jun 26, 2026

SpecificationGPT-5.5 (OpenAI)Mistral Large 3 (Mistral)
Input Price (per 1M tokens)$5.00$0.50
Output Price (per 1M tokens)$30.00$1.50
Context Window1.05M tokens262K tokens
TierPremiumBudget
ProviderOpenAIMistral

Calculate Your Exact Costs

Premium quality vs 90%+ budget savings — see the real tradeoff for your workload.

OpenAI
GPT-5.5
$0.00
per month
Input cost
Output cost
Cost per request
Requests/month
Mistral
Mistral Large 3
$0.00
per month
Input cost
Output cost
Cost per request
Requests/month

Which Model for Which Use Case?

High-Volume Production

Chatbots, content pipelines, and API backends processing thousands of daily requests. Mistral Large 3's 90%+ cost savings compound rapidly at scale — ideal for startups and budget-conscious teams.

Better value: Mistral Large 3

Complex Reasoning & Analysis

Multi-step research, nuanced decision-making, and tasks where quality is critical. GPT-5.5's premium reasoning capabilities may justify the 20x cost for high-stakes applications.

Higher quality: GPT-5.5

Long Document Processing

GPT-5.5 offers 1.05M context vs Mistral's 262K — a 4x advantage. For processing very long documents (legal contracts, research papers), GPT-5.5 handles larger files natively. Mistral's 262K covers most standard documents.

Larger context: GPT-5.5

Code Generation & Assistance

Both models handle code well. Mistral Large 3's 90%+ savings make it the clear choice for code review tools, IDE integrations, and developer assistants where cost per query matters most.

Better value: Mistral Large 3

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Frequently Asked Questions

How much cheaper is Mistral Large 3 than GPT-5.5?

Mistral Large 3 costs $0.50/$1.50 per 1M tokens. GPT-5.5 costs $5.00/$30.00 per 1M tokens. Mistral is 90% cheaper on input and 95% cheaper on output — a typical workload saves $18.75/month (94% overall).

Which has a larger context window?

GPT-5.5 has 1.05M tokens vs Mistral Large 3's 262K tokens. GPT-5.5 offers 4x the context — important for very long documents. However, Mistral's 262K covers most standard use cases.

When should I choose Mistral Large 3 over GPT-5.5?

Choose Mistral Large 3 when cost is your primary concern — it's 90-95% cheaper, ideal for high-volume production workloads. Choose GPT-5.5 when you need the absolute best reasoning quality or very long context (1M+ tokens).

Is Mistral Large 3 good enough to replace GPT-5.5?

For many workloads — yes. Mistral Large 3 handles chatbots, code generation, and content creation at 90%+ lower cost. GPT-5.5 may still outperform on complex reasoning and offers 4x the context window.

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