Time to First Token · GPT-5 (high)
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Time to First Token · Mistral Medium 3.5
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GPT-5 (high) vs Mistral Medium 3.5: The Ultimate Performance & Pricing Comparison
Deep dive into reasoning, benchmarks, and latency insights.
The Final Verdict in the GPT-5 (high) vs Mistral Medium 3.5 Showdown
The current catalog does not contain complete performance evidence for both models, so this page does not declare an overall winner. Use the available fields as comparison signals and validate the models on your own workload.
Model Snapshot
Key decision metrics at a glance.
GPT-5 (high)Mistral Medium 3.5
9.0
Reasoning6.0
4.0
Coding5.0
3.0
Multimodal2.0
4.0
Long Context4.0
$3.438
Blended Price / 1M tokens$3
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P95 Latency—
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Tokens per second169.873
Machine-readable comparison data
| Model | Metric | Value | Unit | Source / snapshot |
|---|---|---|---|---|
| GPT-5 (high) | Reasoning | 9.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Mistral Medium 3.5 | Reasoning | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-5 (high) | Coding | 4.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Mistral Medium 3.5 | Coding | 5.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-5 (high) | Multimodal | 3.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Mistral Medium 3.5 | Multimodal | 2.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-5 (high) | Long Context | 4.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Mistral Medium 3.5 | Long Context | 4.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-5 (high) | Blended Price / 1M tokens | $3.438 | USD per 1M tokens | Artificial Analysis · current catalog |
| Mistral Medium 3.5 | Blended Price / 1M tokens | $3 | USD per 1M tokens | Artificial Analysis · current catalog |
| GPT-5 (high) | P95 Latency | — | milliseconds | Artificial Analysis · current catalog |
| Mistral Medium 3.5 | P95 Latency | — | milliseconds | Artificial Analysis · current catalog |
| GPT-5 (high) | Tokens per second | — | tokens per second | Artificial Analysis · current catalog |
| Mistral Medium 3.5 | Tokens per second | 169.873 | tokens per second | Artificial Analysis · current catalog |
Data provided by Artificial Analysis; live values use the current catalog.
Overall Capabilities
This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `GPT-5 (high)` vs `Mistral Medium 3.5`.
GPT-5 (high)Mistral Medium 3.5
Benchmark Breakdown
This grouped bar chart provides a side-by-side comparison for each benchmark metric.
37.846.9
ARTIFICIAL ANALYSIS CODING34.729.9
ARTIFICIAL ANALYSIS INTELLIGENCE94.3—
ARTIFICIAL ANALYSIS MATHGPT-5 (high)Mistral Medium 3.5
Speed & Latency
Lower time to first token is better; higher tokens per second is better.
Tokens per Second · GPT-5 (high)
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Tokens per Second · Mistral Medium 3.5
169.873
The Economics of GPT-5 (high) vs Mistral Medium 3.5
Pricing Breakdown
Compare input and output pricing in USD per 1M tokens.
$1.25$1.5
Input Pricing$10$7.5
Output PricingGPT-5 (high)Mistral Medium 3.5
Real-World Cost Scenario
Per run: 1M input tokens + 250k output tokensGPT-5 (high)$3.75
Mistral Medium 3.5$3.375
Mistral Medium 3.5 costs $0.375 less per run
Your Questions about the GPT-5 (high) vs Mistral Medium 3.5 Comparison
Is `GPT-5 (high)` a direct replacement for `Mistral Medium 3.5`?
The current GPT-5 (high) vs Mistral Medium 3.5 data does not establish a universal replacement. Compare the available metrics, then validate quality, latency, reliability, and cost on your own workload.
For coding, which is better in the `GPT-5 (high) vs Mistral Medium 3.5` debate?
The benchmark data in our GPT-5 (high) vs Mistral Medium 3.5 comparison shows Mistral Medium 3.5 has a clear advantage, scoring 46.9 on LiveCodeBench versus 37.8.
How was this `GPT-5 (high) vs Mistral Medium 3.5` comparison conducted?
Our GPT-5 (high) vs Mistral Medium 3.5 comparison uses published benchmark, pricing, speed, and latency fields provided by Artificial Analysis. Missing values remain unavailable, and the result should be checked against your workload.