OpenAI o1-mini vs Claude 3.5 Sonnet
Head-to-head specifications
| Metric | OpenAI o1-mini | Claude 3.5 Sonnet | Difference |
|---|---|---|---|
| MMLU (general capability) | 85.2% | 88.7% | -3.5% |
| Context window | 128K tokens | 200K tokens | — |
| Price (input / output per 1M) | $3 / $12 | $3 / $15 | — |
| Access | Proprietary API | Proprietary API | — |
- Claude 3.5 Sonnet leads general capability (MMLU 88.7% vs 85.2%).
- Claude 3.5 Sonnet offers the larger context window, useful for long documents and codebases.
Verdict: OpenAI o1-mini or Claude 3.5 Sonnet?
OpenAI o1-mini advantages
- Output cost (+20%)
Claude 3.5 Sonnet advantages
- Context window (+36%)
Which should you choose?
- Choose the OpenAI o1-mini if you generate a lot of output and want the lowest cost.
- Choose the Claude 3.5 Sonnet if you work with long documents or large codebases.
Value for money
OpenAI o1-mini offers more capability per dollar — a better value pick for high-volume use, delivering 1.15× the MMLU-per-cost of the alternative.
OpenAI o1-mini vs Claude 3.5 Sonnet: which should you choose?
OpenAI o1-mini — OpenAI large language model (2024) with a 128K-token context window and an MMLU score of 85.2%.
Claude 3.5 Sonnet — Anthropic large language model (2024) with a 200K-token context window and an MMLU score of 88.7%.
OpenAI o1-mini vs Claude 3.5 Sonnet: Claude 3.5 Sonnet scores higher on the MMLU benchmark. Claude 3.5 Sonnet leads general capability (MMLU 88.7% vs 85.2%). Claude 3.5 Sonnet offers the larger context window, useful for long documents and codebases.
Capability and reasoning
On MMLU — a 57-subject benchmark of general knowledge and reasoning — the Claude 3.5 Sonnet scores 88.7% versus 85.2%. MMLU is a useful proxy for raw knowledge but does not capture instruction-following, coding, tool use, latency or safety, so treat it as one signal among several.
Context window
The Claude 3.5 Sonnet handles up to 200K tokens per request, which sets how much documentation, transcript or code it can reason over at once — decisive for retrieval-augmented and long-document workflows.
Pricing and access
OpenAI o1-mini is proprietary api and Claude 3.5 Sonnet is proprietary api. Proprietary models bill per token via API; open-weight models can be self-hosted, trading per-call cost for infrastructure you manage. For production, weigh throughput, rate limits and data-residency needs alongside headline price.
The verdict
Both are credible choices in the ai model comparison space; the specification table above lays out every metric so you can weigh the trade-offs that matter to you. Pick the one whose strengths line up with how you will actually use it.
Frequently asked questions
Is the OpenAI o1-mini better than the Claude 3.5 Sonnet?
These two are closely matched — the right pick comes down to which specific strengths you value and the price you actually pay. Claude 3.5 Sonnet leads general capability (MMLU 88.7% vs 85.2%).
What is the main difference between the OpenAI o1-mini and the Claude 3.5 Sonnet?
Claude 3.5 Sonnet leads general capability (MMLU 88.7% vs 85.2%). Claude 3.5 Sonnet offers the larger context window, useful for long documents and codebases.
Which is better value?
OpenAI o1-mini offers more capability per dollar — a better value pick for high-volume use, delivering 1.15× the MMLU-per-cost of the alternative.
Which should I choose?
Choose the OpenAI o1-mini if you generate a lot of output and want the lowest cost. Choose the Claude 3.5 Sonnet if you work with long documents or large codebases.
Methodology
Large language models are compared on the MMLU benchmark (a widely-cited 57-subject test of general knowledge and reasoning, reported as a percentage), maximum context window, and published API pricing per million input and output tokens. Open-weight models can also be self-hosted. Benchmarks capture only part of real-world quality, which also depends on tool use, latency, safety and task fit.