As of August 25, 2026, Pixtral-12B is 44% cheaper per million tokens than Qwen3 32B. Pixtral-12B is $0.15 / $0.15 per million input/output tokens versus Qwen3 32B at $0.10 / $0.44. Sources: https://docs.mistral.ai/platform/pricing/ and https://bailian.console.aliyun.com/
Sources: Mistral AI pricing (https://docs.mistral.ai/platform/pricing/); Qwen pricing (https://bailian.console.aliyun.com/)
Pixtral-12B
Mistral
Input
$0.15
Output
$0.15
Qwen3 32B
Qwen
Input
$0.10
Output
$0.44
Token pricing, specs, and benchmarks side by side
Pixtral-12BQwen3 32BVerdict
Both models are closely matched on benchmarks. Pixtral-12B has the pricing advantage, making it the better value unless Qwen3 32B's specific capabilities are critical to your workflow.
As of August 25, 2026, Pixtral-12B is 44% cheaper on blended LLM API pricing. Pixtral-12B costs $0.15 per million input tokens and $0.15 per million output tokens ($0.30 blended 1M-in + 1M-out). Qwen3 32B costs $0.10 / $0.44 per million tokens ($0.54 blended). Sources: https://docs.mistral.ai/platform/pricing/ and https://bailian.console.aliyun.com/. The cheapest LLM for your app still depends on how many output tokens you generate.
Pixtral-12B Mistral API pricing is $0.15 input and $0.15 output per million tokens via Mistral AI. Qwen3 32B Qwen API pricing is $0.10 input and $0.44 output per million tokens via Qwen. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Qwen3 32B has a published LiveCodeBench score of 65.7%. Pixtral-12B does not have that eval on this page yet.
Pixtral-12B supports a 128K token context window, while Qwen3 32B supports 128K tokens. Both models have the same context window size. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Shared benchmark scores for Pixtral-12B and Qwen3 32B are still limited. Check the comparison table for the evals each model has published. 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 Pixtral-12B and Qwen3 32B are production API models. For cost-sensitive production traffic, Pixtral-12B 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 Pixtral-12B through Mistral AI and Qwen3 32B 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 Mistral API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://docs.mistral.ai/platform/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.
Pixtral-12B supports up to 8K output tokens per request, while Qwen3 32B supports up to 128K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Pixtral-12B runs at approximately 0.1 tokens/second while Qwen3 32B runs at 32.4 tokens/second. Qwen3 32B is faster in raw throughput. 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 Pixtral-12B or Qwen3 32B 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. Pixtral-12B costs $0.15/M input and $0.15/M output via Mistral AI. Qwen3 32B costs $0.10/M input and $0.44/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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