GPT-4.5 vs Mistral Large 2 (2411)
Live Unit Economics, TTFT Latency & Reasoning Benchmark Analysis
Which model is better: GPT-4.5 or Mistral Large 2 (2411)?
Verified Performance & Unit Economics Delta
Daily synchronized metrics from synthetic latency endpoints and benchmark evaluations.
| Metric / Dimension | GPT-4.5 | Mistral Large 2 (2411) | Net Delta / Advantage |
|---|---|---|---|
| Input Cost / 1M Tokens | $75.00 | $2.00 | Mistral Large 2 (2411) is 37.5x cheaper |
| Output Cost / 1M Tokens | $150.00 | $6.00 | Mistral Large 2 (2411) (96.0% lower) |
| Prompt Cache Read / 1M | $37.500 | $0.200 | Mistral Large 2 (2411) is 187.5x cheaper |
| Prompt Cache Write / 1M | $75.00 | $2.00 | Mistral Large 2 (2411) is 37.5x cheaper |
| Avg TTFT Response Latency | 850ms | 580ms | Mistral Large 2 (2411) (+270ms faster) |
| SWE-bench Verified (Coding) | 38% | 30.1% | GPT-4.5 (+7.9% lead) |
| Inference Value Score (IVR) | 22.1 / 100 | 46.7 / 100 | Mistral Large 2 (2411) (+24.6 pts) |
Interactive Monthly Token Economics & ROI Forecaster
Model your expected production workload across prompt (input) and completion (output) tokens with prompt caching economics.
Estimated Monthly Spend
$75.00/1M in · $150.00/1M out
Prompt Cache: $37.500/1M read · $75.00/1M write
$2.00/1M in · $6.00/1M out
Prompt Cache: $0.200/1M read · $2.00/1M write
When to Choose GPT-4.5
Choose GPT-4.5 when you need Deep world-knowledge synthesis, high-EQ conversational nuance, and long-form creative generation requiring massive pretraining breadth. and have an infrastructure budget aligned with $75.00/1M tokens.
When to Choose Mistral Large 2 (2411)
Choose Mistral Large 2411 when you need Multilingual frontier model with strong native function-calling capabilities designed for European regulatory and enterprise deployments. and prioritize Mistral AI ecosystem integration at $2.00/1M tokens.
Related Questions & Decision Factors
Which is cheaper: GPT-4.5 or Mistral Large 2 (2411)?
Mistral Large 2 (2411) is cheaper at $2.00/1M input tokens compared to $75.00/1M for GPT-4.5.
Which model has lower latency: GPT-4.5 or Mistral Large 2 (2411)?
Mistral Large 2 (2411) delivers faster response times with an average TTFT of 580ms vs 850ms for GPT-4.5.
When should you choose GPT-4.5?
Choose GPT-4.5 when you need Deep world-knowledge synthesis, high-EQ conversational nuance, and long-form creative generation requiring massive pretraining breadth. and have an infrastructure budget aligned with $75.00/1M tokens.
When should you choose Mistral Large 2 (2411)?
Choose Mistral Large 2411 when you need Multilingual frontier model with strong native function-calling capabilities designed for European regulatory and enterprise deployments. and prioritize Mistral AI ecosystem integration at $2.00/1M tokens.