Ministral 3 8B vs o4-mini Deep Research
Ministral 3 8B vs o4-mini Deep Research: Ministral 3 8B is cheaper for input-heavy usage ($0.15/M vs $2.00/M input tokens), while Ministral 3 8B is better for long-context tasks (256,000 tokens).
Direct answer: choose Ministral 3 8B for lower token spend and choose Ministral 3 8B 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)
Ministral 3 8B
o4-mini Deep Research
Cost Differences
o4-mini Deep Research costs more than Ministral 3 8B
Quick Recommendation
Winner for direct API pricing: Ministral 3 8B. At the default workload, Ministral 3 8B saves about $17.325/month ($210.7875/year) versus o4-mini Deep Research.
Feature Comparison
| Feature | Ministral 3 8B | o4-mini Deep Research |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Input Price | $0.15/1M tokens | $2.00/1M tokens |
| Output Price | $0.15/1M tokens | $8.00/1M tokens |
| Context Window | 256,000 tokens | 200,000 tokens |
| Max Output | 32,768 tokens | 32,768 tokens |
| Category | efficient | reasoning |
| Capabilities | textvision | textreasoningcode |
| Release Date | 12/2/2025 | 6/26/2025 |
Ministral 3 8B vs o4-mini Deep Research: Which Should You Choose?
Choosing between Ministral 3 8B and o4-mini Deep Research depends on your priorities: cost efficiency, context length, or raw capability. Ministral 3 8B is the more affordable option at $0.15/1M input tokens — 93% cheaper than o4-mini Deep Research. Meanwhile, Ministral 3 8B offers a significantly larger context window at 256,000 tokens vs 200,000 for o4-mini 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: Ministral 3 8B is a efficient model while o4-mini Deep Research is reasoning. This means they're optimized for different workloads. o4-mini Deep Research targets more demanding workloads, while Ministral 3 8B provides a cost-effective option for everyday tasks.
Output costs matter too. Ministral 3 8B charges $0.15/1M output tokens vs $8.00 for o4-mini Deep Research. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Ministral 3 8B has the edge here at $0.15/1M output tokens.
Multimodal capabilities: Ministral 3 8B supports vision (image inputs) while o4-mini Deep Research is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Ministral 3 8B when:
- • Budget is a primary concern
- • You need a larger context window (256,000 tokens)
- • You're already using Mistral AI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose o4-mini Deep Research when:
- • You need more capabilities (reasoning, code)
- • You're already using OpenAI's API ecosystem
Pros and Caveats at a Glance
Ministral 3 8B
- • Input pricing: $0.15/M tokens
- • Output pricing: $0.15/M tokens
- • Context window: 256,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Trade-offs are minor in this matchup.
o4-mini Deep Research
- • Input pricing: $2.00/M tokens
- • Output pricing: $8.00/M tokens
- • Context window: 200,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input cost than Ministral 3 8B
- • Higher output cost than Ministral 3 8B
- • Smaller context window than Ministral 3 8B
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Ministral 3 8B (Mistral AI)
o4-mini Deep Research (OpenAI)
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Which is cheaper, Ministral 3 8B or o4-mini Deep Research?▼
What is the context window difference between Ministral 3 8B and o4-mini Deep Research?▼
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