Codestral 25.01 vs o3-mini
Live Unit Economics, TTFT Latency & Reasoning Benchmark Analysis
Which model is better: Codestral 25.01 or o3-mini?
Verified Performance & Unit Economics Delta
Daily synchronized metrics from synthetic latency endpoints and benchmark evaluations.
| Metric / Dimension | Codestral 25.01 | o3-mini | Net Delta / Advantage |
|---|---|---|---|
| Input Cost / 1M Tokens | $0.30 | $1.10 | Codestral 25.01 is 3.7x cheaper |
| Output Cost / 1M Tokens | $0.90 | $4.40 | Codestral 25.01 (79.5% lower) |
| Avg TTFT Response Latency | 150ms | 1200ms | Codestral 25.01 (+1050ms faster) |
| SWE-bench Verified (Coding) | 44.2% | 49.3% | o3-mini (+5.1% lead) |
| Inference Value Score (IVR) | 99.9 / 100 | 77 / 100 | Codestral 25.01 (+22.9 pts) |
Interactive Monthly Token Economics & ROI Forecaster
Model your expected production workload across prompt (input) and completion (output) tokens.
Estimated Monthly Spend
$0.3/1M in · $0.9/1M out
$1.1/1M in · $4.4/1M out
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.
When to Choose o3-mini
Choose o3-mini when you need Cost-efficient STEM reasoning, high-throughput math problem-solving, and structured code synthesis. and prioritize OpenAI ecosystem integration at $1.10/1M tokens.
Related Questions & Decision Factors
Which is cheaper: Codestral 25.01 or o3-mini?
Codestral 25.01 is cheaper at $0.30/1M input tokens compared to $1.10/1M for o3-mini.
Which model has lower latency: Codestral 25.01 or o3-mini?
Codestral 25.01 delivers faster response times with an average TTFT of 150ms vs 1200ms for o3-mini.
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 o3-mini?
Choose o3-mini when you need Cost-efficient STEM reasoning, high-throughput math problem-solving, and structured code synthesis. and prioritize OpenAI ecosystem integration at $1.10/1M tokens.