o1-pro Paid vs 
Mistral Large 3 2512 (batch) Paid
o1-pro vs Mistral Large 3 2512 (batch) compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
o1-pro — full profile › · Mistral Large 3 2512 (batch) — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$600 /M outputManaged API (no infra to run)
$0.75 /M outputManaged API (no infra to run)
o1-pro vs Mistral Large 3 2512 (batch) specs
| Spec | o1-pro | Mistral Large 3 2512 (batch) | Winner |
|---|---|---|---|
| Maker | OpenAI | Mistral AI | – |
| Type | Proprietary | Proprietary | – |
| Context window | 200K tokens | 262K tokens | |
| Input price | $150/M | $0.25/M | |
| Output price | $600/M | $0.75/M | |
| Vision / multimodal | Yes | Yes | = Tie |
| Tool / function calling | No | Yes | |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
Price gap & when to choose each
Mistral Large 3 2512 (batch) is ~800× cheaper than o1-pro on output tokens ($0.75 vs $600 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 262K context window
- You want the lower output price
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | o1-pro | Mistral Large 3 2512 (batch) |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✓ | ✓ |
| Tool / function calling | ✗ | ✓ |
| 1M+ context window | ✗ | ✗ |
Benchmarks: o1-pro vs Mistral Large 3 2512 (batch)
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How o1-pro and Mistral Large 3 2512 (batch) score
| Criterion | o1-pro | Mistral Large 3 2512 (batch) |
|---|---|---|
| Cost-efficiency | 2.0 | 5.0 |
| Context window | 4.0 | 4.0 |
| Openness | 1.5 | 1.5 |
| Self-hosting | 1.0 | 1.0 |
| Multimodality | 3.5 | 5.0 |
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
o1-pro Paid
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...
Mistral Large 3 2512 (batch) Paid
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
Frequently asked questions
o1-pro vs Mistral Large 3 2512 (batch) — which is cheaper?
Mistral Large 3 2512 (batch) is cheaper on output ($0.75/M vs $600/M).
Which has the larger context window?
Mistral Large 3 2512 (batch) offers the larger context window (262K tokens).
o1-pro vs Mistral Large 3 2512 (batch) — which should I pick in 2026?
Choose Mistral Large 3 2512 (batch) for the lower output price ($0.75/M vs $600/M). It also gives you the larger 262K context window.
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