AI model comparison
Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.
This Mistral Large 3 vs GPT-5.5 comparison is designed for teams choosing between two production model records, not for declaring a universal winner. Mistral Large 3 by Mistral AI currently records 262.1K context, 262.1K maximum output, $0.50 input per 1M tokens, $1.50 output per 1M tokens. GPT-5.5 by OpenAI records 1.1M context, 128K maximum output, $5.00 input per 1M tokens, $30.00 output per 1M tokens. The tables below separate documented capabilities, commercial limits, directory measurements, and source-linked benchmark evidence so you can see where the data is complete and where independent testing is still required.
Mistral AI
Mistral's largest general model for enterprise agents, coding, and multilingual reasoning
Accepts
Produces
OpenAI
Default frontier GPT for coding, computer use, research, and knowledge work
Accepts
Produces
At a glance
This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.
Where Mistral Large 3 leads in recorded data
Where GPT-5.5 leads in recorded data
Context capacity
Higher listed limit
Mistral Large 3:262.1K
GPT-5.5:1.1M
GPT-5.5
Maximum output
Higher listed limit
Mistral Large 3:262.1K
GPT-5.5:128K
Mistral Large 3
Input price
Lower recorded price
Mistral Large 3:$0.50
GPT-5.5:$5.00
Mistral Large 3
Output price
Lower recorded price
Mistral Large 3:$1.50
GPT-5.5:$30.00
Mistral Large 3
Output speed
Higher recorded throughput
Mistral Large 3:—
GPT-5.5:—
No complete comparison
Time to first token
Lower recorded latency
Mistral Large 3:—
GPT-5.5:—
No complete comparison
Intelligence Index
Higher directory index
Mistral Large 3:—
GPT-5.5:—
No complete comparison
Evidence
A score appears only when both records include a verified source. It is not treated as a universal ranking.
Specifications
| Specification | Mistral Large 3 | GPT-5.5 |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Model family | mistral-large | gpt |
| Accepted inputs | text, image | text, image, pdf |
| Produced outputs | text | text |
| Context window | 262.1K | 1.1MRecorded lead |
| Max output | 262.1KRecorded lead | 128K |
| Intelligence Index | — | — |
| Input price / 1M | $0.50Recorded lead | $5.00 |
| Output price / 1M | $1.50Recorded lead | $30.00 |
| Output speed | — | — |
| Time to first token | — | — |
| Reasoning mode | Not documented | Documented |
| Tool calling | Documented | Documented |
| Image input | Documented | Documented |
| Audio input | Not documented | Not documented |
| Structured output | Not documented | Documented |
| License | Open weights | Proprietary |
| Released | Nov 1, 2024 | Apr 23, 2026 |
Workload guidance
Mistral Large 3 currently leads on larger maximum output, lower recorded input price, lower recorded output price. GPT-5.5 currently leads on larger context. Choose according to the constraints that matter to your workload, then run the same representative prompts against both models before making a production commitment. Neither the larger number nor the lower price is automatically the better choice: prompt quality, tool reliability, modality support, rate limits, data policy, and provider implementation can change the result. Use this page to build a shortlist, confirm current terms in the linked sources, and validate quality, latency, and cost with your own traffic.
Provenance
Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.
Mistral Large 3
Mistral AI · model record and recorded source
GPT-5.5
OpenAI · model record and recorded source
Choose any two approved model records and review them with the same evidence rules.