GPT-4 Paid vs 
Mistral Large Paid
GPT-4 vs Mistral Large compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
GPT-4 — full profile › · Mistral Large — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$60 /M outputManaged API (no infra to run)
$6 /M outputManaged API (no infra to run)
GPT-4 vs Mistral Large specs
| Spec | GPT-4 | Mistral Large | Winner |
|---|---|---|---|
| Maker | OpenAI | Mistral AI | – |
| Type | Proprietary | Proprietary | – |
| Context window | 8K tokens | 128K tokens | |
| Input price | $30/M | $2/M | |
| Output price | $60/M | $6/M | |
| Vision / multimodal | No | No | – |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
Price gap & when to choose each
Mistral Large is ~10× cheaper than GPT-4 on output tokens ($6 vs $60 per M tokens).
- You want frontier performance through a managed API
- You value reliability & ecosystem
- You don't want to manage infrastructure
- You want frontier performance through a managed API
- You need the longer 128K context window
- You want the lower output price
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | GPT-4 | Mistral Large |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✗ | ✗ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✗ | ✗ |
Benchmarks: GPT-4 vs Mistral Large
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How GPT-4 and Mistral Large score
| Criterion | GPT-4 | Mistral Large |
|---|---|---|
| Cost-efficiency | 2.0 | 4.0 |
| Context window | 2.0 | 3.5 |
| Openness | 1.5 | 1.5 |
| Self-hosting | 1.0 | 1.0 |
| Multimodality | 3.5 | 3.5 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
What each model is
GPT-4 Paid
OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning...
Mistral Large Paid
This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news
Frequently asked questions
GPT-4 vs Mistral Large — which is cheaper?
Mistral Large is cheaper on output ($6/M vs $60/M).
Which has the larger context window?
Mistral Large offers the larger context window (128K tokens).
GPT-4 vs Mistral Large — which should I pick in 2026?
Choose Mistral Large for the lower output price ($6/M vs $60/M). It also gives you the larger 128K context window.
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