Devstral 2 vs o3 Deep Research
Devstral 2 vs o3 Deep Research: Devstral 2 is cheaper for input-heavy usage ($0.40/M vs $10.00/M input tokens), while Devstral 2 is better for long-context tasks (262,144 tokens).
Direct answer: choose Devstral 2 for lower token spend and choose Devstral 2 when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Devstral 2
o3 Deep Research
Cost Differences
o3 Deep Research costs more than Devstral 2
Quick Recommendation
Winner for direct API pricing: Devstral 2. At the default workload, Devstral 2 saves about $85.80/month ($1,043.90/year) versus o3 Deep Research.
Feature Comparison
| Feature | Devstral 2 | o3 Deep Research |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Input Price | $0.40/1M tokens | $10.00/1M tokens |
| Output Price | $2.00/1M tokens | $40.00/1M tokens |
| Context Window | 262,144 tokens | 200,000 tokens |
| Max Output | 32,768 tokens | 32,768 tokens |
| Category | efficient | reasoning |
| Capabilities | textcode | textreasoningvisioncode |
| Release Date | 12/9/2025 | 6/26/2025 |
Devstral 2 vs o3 Deep Research: Which Should You Choose?
Choosing between Devstral 2 and o3 Deep Research depends on your priorities: cost efficiency, context length, or raw capability. Devstral 2 is the more affordable option at $0.40/1M input tokens — 96% cheaper than o3 Deep Research. Meanwhile, Devstral 2 offers a significantly larger context window at 262,144 tokens vs 200,000 for o3 Deep Research.
These models come from different providers — Mistral AI and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Mistral AI, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Devstral 2 is a efficient model while o3 Deep Research is reasoning. This means they're optimized for different workloads. o3 Deep Research targets more demanding workloads, while Devstral 2 provides a cost-effective option for everyday tasks.
Output costs matter too. Devstral 2 charges $2.00/1M output tokens vs $40.00 for o3 Deep Research. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Devstral 2 has the edge here at $2.00/1M output tokens.
Multimodal capabilities: o3 Deep Research supports vision (image inputs) while Devstral 2 is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Devstral 2 when:
- • Budget is a primary concern
- • You need a larger context window (262,144 tokens)
- • You're already using Mistral AI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose o3 Deep Research when:
- • You need more capabilities (reasoning, vision)
- • You're already using OpenAI's API ecosystem
Pros and Caveats at a Glance
Devstral 2
- • Input pricing: $0.40/M tokens
- • Output pricing: $2.00/M tokens
- • Context window: 262,144 tokens
- • Max output: 32,768 tokens
Watch out for
- • Trade-offs are minor in this matchup.
o3 Deep Research
- • Input pricing: $10.00/M tokens
- • Output pricing: $40.00/M tokens
- • Context window: 200,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input cost than Devstral 2
- • Higher output cost than Devstral 2
- • Smaller context window than Devstral 2
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Devstral 2 (Mistral AI)
o3 Deep Research (OpenAI)
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Which is cheaper, Devstral 2 or o3 Deep Research?▼
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