GPT-5.6 Cyber vs Mistral Small 4
Pricing verdict: GPT-5.6 Cyber vs Mistral Small 4: Mistral Small 4 is cheaper for input-heavy usage ($0.15/M vs $12.50/M input tokens), while GPT-5.6 Cyber is better for long-context tasks (400,000 tokens).
Direct answer: choose Mistral Small 4 for lower token spend and choose GPT-5.6 Cyber when your workload needs longer context.
Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-5.6 Cyber
Mistral Small 4
Cost Differences
Mistral Small 4 costs less than GPT-5.6 Cyber
Quick Recommendation
Winner for direct API pricing: Mistral Small 4. At the default workload, Mistral Small 4 saves about $148.65/month ($1,808.575/year) versus GPT-5.6 Cyber.
Feature Comparison
| Feature | GPT-5.6 Cyber | Mistral Small 4 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Input Price | $12.50/1M tokens | $0.15/1M tokens |
| Output Price | $75.00/1M tokens | $0.60/1M tokens |
| Context Window | 400,000 tokens | 128,000 tokens |
| Max Output | 128,000 tokens | 16,384 tokens |
| Category | reasoning | efficient |
| Capabilities | textvisioncodereasoning | textvisioncodereasoning |
| Release Date | 8/10/2026 | 3/18/2026 |
GPT-5.6 Cyber vs Mistral Small 4: Which Should You Choose?
Choosing between GPT-5.6 Cyber and Mistral Small 4 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Small 4 is the more affordable option at $0.15/1M input tokens — 99% cheaper than GPT-5.6 Cyber. Meanwhile, GPT-5.6 Cyber offers a significantly larger context window at 400,000 tokens vs 128,000 for Mistral Small 4.
These models come from different providers — OpenAI and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with OpenAI, switching to Mistral AIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: GPT-5.6 Cyber is a reasoning model while Mistral Small 4 is efficient. This means they're optimized for different workloads. GPT-5.6 Cyber is built for complex tasks that require deeper reasoning, while Mistral Small 4 offers better value for routine operations.
Output costs matter too. GPT-5.6 Cyber charges $75.00/1M output tokens vs $0.60 for Mistral Small 4. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Small 4 has the edge here at $0.60/1M output tokens.
Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.
Best Use Cases
Choose GPT-5.6 Cyber when:
- • You need a larger context window (400,000 tokens)
- • You need longer outputs (up to 128,000 tokens)
- • You're already using OpenAI's API ecosystem
Choose Mistral Small 4 when:
- • Budget is a primary concern
- • You're already using Mistral AI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Pros and Caveats at a Glance
GPT-5.6 Cyber
- • Input pricing: $12.50/M tokens
- • Output pricing: $75.00/M tokens
- • Context window: 400,000 tokens
- • Max output: 128,000 tokens
Watch out for
- • Higher input cost than Mistral Small 4
- • Higher output cost than Mistral Small 4
Mistral Small 4
- • Input pricing: $0.15/M tokens
- • Output pricing: $0.60/M tokens
- • Context window: 128,000 tokens
- • Max output: 16,384 tokens
Watch out for
- • Smaller context window than GPT-5.6 Cyber
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-5.6 Cyber (OpenAI)
Mistral Small 4 (Mistral AI)
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Which is cheaper, GPT-5.6 Cyber or Mistral Small 4?▼
What is the context window difference between GPT-5.6 Cyber and Mistral Small 4?▼
Which model is better for AI Agent / Agentic Workflows?▼
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