As of August 25, 2026, Qwen3.5-35B-A3B is 78% cheaper per million tokens than o3. o3 is $2.00 / $8.00 per million input/output tokens versus Qwen3.5-35B-A3B at $0.25 / $2.00. Sources: https://developers.openai.com/api/docs/pricing and https://bailian.console.aliyun.com/
Sources: OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Qwen pricing (https://bailian.console.aliyun.com/)
o3
OpenAI
Input
$2.00
Output
$8.00
Qwen3.5-35B-A3B
Qwen
Input
$0.25
Output
$2.00
Token pricing, specs, and benchmarks side by side
Each bar is share of the current leader on that eval. Click a row to open the board.
SWE-bench Verified. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.
o3Qwen3.5-35B-A3BVerdict
Both models are closely matched on benchmarks. Qwen3.5-35B-A3B has the pricing advantage, making it the better value unless o3's specific capabilities are critical to your workflow.
As of August 25, 2026, Qwen3.5-35B-A3B is 78% cheaper on blended LLM API pricing. Qwen3.5-35B-A3B costs $0.25 per million input tokens and $2.00 per million output tokens ($2.25 blended 1M-in + 1M-out). o3 costs $2.00 / $8.00 per million tokens ($10.00 blended). Sources: https://developers.openai.com/api/docs/pricing and https://bailian.console.aliyun.com/. The cheapest LLM for your app still depends on how many output tokens you generate.
o3 OpenAI API pricing is $2.00 input and $8.00 output per million tokens via OpenAI. Qwen3.5-35B-A3B Qwen API pricing is $0.25 input and $2.00 output per million tokens via Qwen. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Qwen3.5-35B-A3B leads on SWE-bench Verified: o3 at 69.1% vs Qwen3.5-35B-A3B at 69.2%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.
o3 supports a 200K token context window, while Qwen3.5-35B-A3B supports 262K tokens. Qwen3.5-35B-A3B offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
o3 and Qwen3.5-35B-A3B are tied across 12 shared benchmarks. Check the table for category-level strengths. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Both o3 and Qwen3.5-35B-A3B are production API models. For cost-sensitive production traffic, Qwen3.5-35B-A3B has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Yes. Call o3 through OpenAI and Qwen3.5-35B-A3B through Qwen with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
List rates are the latest published OpenAI API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://developers.openai.com/api/docs/pricing and https://bailian.console.aliyun.com/. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
o3 supports up to 100K output tokens per request, while Qwen3.5-35B-A3B supports up to 65K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
o3 has a measured throughput of approximately 50 tokens/second. Throughput data for Qwen3.5-35B-A3B is not yet available. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open o3 or Qwen3.5-35B-A3B from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
This comparison covers API pricing, context window, throughput, and benchmark scores. o3 costs $2.00/M input and $8.00/M output. Qwen3.5-35B-A3B costs $0.25/M input and $2.00/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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