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GPT-5.6 Luna vs Mistral Medium 3.5

Pricing verdict: GPT-5.6 Luna vs Mistral Medium 3.5: GPT-5.6 Luna is cheaper for input-heavy usage ($1.00/M vs $1.50/M input tokens), while GPT-5.6 Luna is better for long-context tasks (1,050,000 tokens).

Direct answer: choose GPT-5.6 Luna for lower token spend and choose GPT-5.6 Luna 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.

OpenAI
GPT-5.6 Luna
vs
Mistral AI
Mistral Medium 3.5

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

GPT-5.6 Luna

Per Request:$0.004000
Daily:$0.40
Monthly:$12.00
Yearly:$146.00

Mistral Medium 3.5

Per Request:$0.005250
Daily:$0.525
Monthly:$15.75
Yearly:$191.625

Cost Differences

+$0.001250
Per Request
+$0.125
Daily
+$3.75
Monthly
+$45.625
Yearly

Mistral Medium 3.5 costs more than GPT-5.6 Luna

Quick Recommendation

Winner for direct API pricing: GPT-5.6 Luna. At the default workload, GPT-5.6 Luna saves about $3.75/month ($45.625/year) versus Mistral Medium 3.5.

Feature Comparison

FeatureGPT-5.6 LunaMistral Medium 3.5
ProviderOpenAIMistral AI
Input Price$1.00/1M tokens$1.50/1M tokens
Output Price$6.00/1M tokens$7.50/1M tokens
Context Window1,050,000 tokens256,000 tokens
Max Output128,000 tokens32,768 tokens
Categoryefficientflagship
Capabilities
textvisioncodereasoning
textvisioncodereasoning
Release Date6/26/20264/29/2026

GPT-5.6 Luna vs Mistral Medium 3.5: Which Should You Choose?

Choosing between GPT-5.6 Luna and Mistral Medium 3.5 depends on your priorities: cost efficiency, context length, or raw capability. GPT-5.6 Luna is the more affordable option at $1.00/1M input tokens — 33% cheaper than Mistral Medium 3.5. Meanwhile, GPT-5.6 Luna offers a significantly larger context window at 1,050,000 tokens vs 256,000 for Mistral Medium 3.5.

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 Luna is a efficient model while Mistral Medium 3.5 is flagship. This means they're optimized for different workloads. Mistral Medium 3.5 targets more demanding workloads, while GPT-5.6 Luna provides a cost-effective option for everyday tasks.

Output costs matter too. GPT-5.6 Luna charges $6.00/1M output tokens vs $7.50 for Mistral Medium 3.5. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-5.6 Luna has the edge here at $6.00/1M 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 Luna when:

  • • Budget is a primary concern
  • • You need a larger context window (1,050,000 tokens)
  • • You need longer outputs (up to 128,000 tokens)
  • • You're already using OpenAI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose Mistral Medium 3.5 when:

  • • You're already using Mistral AI's API ecosystem

Pros and Caveats at a Glance

GPT-5.6 Luna

  • Input pricing: $1.00/M tokens
  • Output pricing: $6.00/M tokens
  • Context window: 1,050,000 tokens
  • Max output: 128,000 tokens

Watch out for

  • Trade-offs are minor in this matchup.

Mistral Medium 3.5

  • Input pricing: $1.50/M tokens
  • Output pricing: $7.50/M tokens
  • Context window: 256,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Higher input cost than GPT-5.6 Luna
  • Higher output cost than GPT-5.6 Luna
  • Smaller context window than GPT-5.6 Luna

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

GPT-5.6 Luna (OpenAI)

Mistral Medium 3.5 (Mistral AI)

Start using GPT-5.6 Luna today

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Start using Mistral Medium 3.5 today

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Frequently Asked Questions

Which is cheaper, GPT-5.6 Luna or Mistral Medium 3.5?
GPT-5.6 Luna is cheaper for input tokens at $1.00 per million tokens vs $1.50 for Mistral Medium 3.5 — that's 33% savings on input costs.
What is the context window difference between GPT-5.6 Luna and Mistral Medium 3.5?
GPT-5.6 Luna supports 1,050,000 tokens while Mistral Medium 3.5 supports 256,000 tokens — a difference of 794,000 tokens in favor of GPT-5.6 Luna.
Which model is better for AI Agent / Agentic Workflows?
Both models support text, code, reasoning. For ai agent / agentic workflows, GPT-5.6 Luna is the lower-cost option, while GPT-5.6 Luna offers a larger context window (1,050,000 vs 256,000 tokens). Choose GPT-5.6 Luna for budget sensitivity or GPT-5.6 Luna for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, GPT-5.6 Luna costs about $12.00/month and Mistral Medium 3.5 costs about $15.75/month. Overall, GPT-5.6 Luna has lower combined input + output rates ($1.00 in, $6.00 out) vs Mistral Medium 3.5.
Where can I compare OpenAI and Mistral AI API pricing beyond this model matchup?
See the OpenAI vs Mistral AI provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

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