Codestral vs GPT-5.5 Pro
Codestral vs GPT-5.5 Pro: Codestral is cheaper for input-heavy usage ($0.30/M vs $30.00/M input tokens), while GPT-5.5 Pro is better for long-context tasks (1,050,000 tokens).
Direct answer: choose Codestral for lower token spend and choose GPT-5.5 Pro when your workload needs longer context.
Common pricing searches covered on this page: Codestral vs GPT-5.5 Pro • Codestral vs GPT-5.5 Pro pricing • Codestral vs GPT-5.5 Pro API pricing and codestral vs 5 5 pro pricing.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Codestral
GPT-5.5 Pro
Cost Differences
GPT-5.5 Pro costs more than Codestral
Quick Recommendation
Winner for direct API pricing: Codestral. At the default workload, Codestral saves about $357.75/month ($4,352.625/year) versus GPT-5.5 Pro.
Feature Comparison
| Feature | Codestral | GPT-5.5 Pro |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Input Price | $0.30/1M tokens | $30.00/1M tokens |
| Output Price | $0.90/1M tokens | $180.00/1M tokens |
| Context Window | 128,000 tokens | 1,050,000 tokens |
| Max Output | 32,768 tokens | 128,000 tokens |
| Category | balanced | reasoning |
| Capabilities | textcode | textvisioncodereasoning |
| Release Date | 7/30/2025 | 4/24/2026 |
Codestral vs GPT-5.5 Pro: Which Should You Choose?
Choosing between Codestral and GPT-5.5 Pro depends on your priorities: cost efficiency, context length, or raw capability. Codestral is the more affordable option at $0.30/1M input tokens — 99% cheaper than GPT-5.5 Pro. Meanwhile, GPT-5.5 Pro offers a significantly larger context window at 1,050,000 tokens vs 128,000 for Codestral.
These models come from different providers — Mistral AI and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Mistral AI, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Codestral is a balanced model while GPT-5.5 Pro is reasoning. This means they're optimized for different workloads. GPT-5.5 Pro targets more demanding workloads, while Codestral provides a cost-effective option for everyday tasks.
Output costs matter too. Codestral charges $0.90/1M output tokens vs $180.00 for GPT-5.5 Pro. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Codestral has the edge here at $0.90/1M output tokens.
Multimodal capabilities: GPT-5.5 Pro supports vision (image inputs) while Codestral is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Codestral when:
- • Budget is a primary concern
- • You're already using Mistral AI's API ecosystem
Choose GPT-5.5 Pro when:
- • You need a larger context window (1,050,000 tokens)
- • You need more capabilities (vision, reasoning)
- • You need longer outputs (up to 128,000 tokens)
- • You're already using OpenAI's API ecosystem
Pros and Caveats at a Glance
Codestral
- • Input pricing: $0.30/M tokens
- • Output pricing: $0.90/M tokens
- • Context window: 128,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Smaller context window than GPT-5.5 Pro
GPT-5.5 Pro
- • Input pricing: $30.00/M tokens
- • Output pricing: $180.00/M tokens
- • Context window: 1,050,000 tokens
- • Max output: 128,000 tokens
Watch out for
- • Higher input cost than Codestral
- • Higher output cost than Codestral
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Codestral (Mistral AI)
GPT-5.5 Pro (OpenAI)
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Sign Up for OpenAI →Frequently Asked Questions
Which is cheaper, Codestral or GPT-5.5 Pro?▼
What is the context window difference between Codestral and GPT-5.5 Pro?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare Mistral AI and OpenAI API pricing beyond this model matchup?▼
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