Which model is better: Codestral 25.01 or GPT-5.6 Luna?

GPT-5.6 Luna is 40.0% cheaper for input tokens ($0.18 vs. $0.30 per 1M tokens) and $0.72 vs. $0.90 for output tokens (1.7x cost difference). In terms of operational performance, GPT-5.6 Luna delivers faster response latency with 90ms TTFT (60ms faster than Codestral 25.01). GPT-5.6 Luna leads coding benchmarks at 48.5% SWE-bench vs. 44.2% for Codestral 25.01.
Verified daily via automated API latency tests and official documentation.

Verified Performance & Unit Economics Delta

Daily synchronized metrics from synthetic latency endpoints and benchmark evaluations.

Metric / Dimension Codestral 25.01 GPT-5.6 Luna Net Delta / Advantage
Input Cost / 1M Tokens $0.30 $0.18 GPT-5.6 Luna is 1.7x cheaper
Output Cost / 1M Tokens $0.90 $0.72 GPT-5.6 Luna (25% lower)
Avg TTFT Response Latency 150ms 90ms GPT-5.6 Luna (+60ms faster)
SWE-bench Verified (Coding) 44.2% 48.5% GPT-5.6 Luna (+4.3% lead)
Inference Value Score (IVR) 99.9 / 100 99.9 / 100 GPT-5.6 Luna (+0 pts)

Interactive Monthly Token Economics & ROI Forecaster

Model your expected production workload across prompt (input) and completion (output) tokens.

Live Calculation Engine
10.0M Tokens
100K 50M 250M 500M+
2.5M Tokens
100K 10M 50M 100M+

Estimated Monthly Spend

Codestral 25.01 $5.45

$0.3/1M in · $0.9/1M out

GPT-5.6 Luna $67.50

$0.18/1M in · $0.72/1M out

Projected Monthly Cost Reduction
$62.05 / mo
(91.9% lower cost)
A

When to Choose Codestral 25.01

Choose Codestral 25.01 when you need 256K long-context repository indexing, fill-in-the-middle code completion, and IDE plugin backend. and have an infrastructure budget aligned with $0.30/1M tokens.

B

When to Choose GPT-5.6 Luna

Choose GPT-5.6 Luna when you need Real-time conversational agents, high-volume classification, intent detection, and low-latency interactive apps. and prioritize OpenAI ecosystem integration at $0.18/1M tokens.

Related Questions & Decision Factors

Which is cheaper: Codestral 25.01 or GPT-5.6 Luna?

GPT-5.6 Luna is cheaper at $0.18/1M input tokens compared to $0.30/1M for Codestral 25.01.

Which model has lower latency: Codestral 25.01 or GPT-5.6 Luna?

GPT-5.6 Luna delivers faster response times with an average TTFT of 90ms vs 150ms for Codestral 25.01.

When should you choose Codestral 25.01?

Choose Codestral 25.01 when you need 256K long-context repository indexing, fill-in-the-middle code completion, and IDE plugin backend. and have an infrastructure budget aligned with $0.30/1M tokens.

When should you choose GPT-5.6 Luna?

Choose GPT-5.6 Luna when you need Real-time conversational agents, high-volume classification, intent detection, and low-latency interactive apps. and prioritize OpenAI ecosystem integration at $0.18/1M tokens.

Explore Related Model Matchups