As of August 30, 2026, MiniCPM-SALA is 83% cheaper per million tokens than Qwen3 VL 30B A3B Thinking. MiniCPM-SALA is $0.10 / $0.10 per million input/output tokens versus Qwen3 VL 30B A3B Thinking at $0.20 / $1.00. Sources: https://www.openbmb.cn/ and https://bailian.console.aliyun.com/
Sources: OpenBMB pricing (https://www.openbmb.cn/); Qwen pricing (https://bailian.console.aliyun.com/)
MiniCPM-SALA
OpenBMB
Input
$0.10
Output
$0.10
Qwen3 VL 30B A3B Thinking
Qwen
Input
$0.20
Output
$1.00
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.
AIME 2025. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.
MiniCPM-SALAQwen3 VL 30B A3B ThinkingVerdict
MiniCPM-SALA offers significantly lower pricing, while Qwen3 VL 30B A3B Thinking leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.
As of August 30, 2026, MiniCPM-SALA is 83% cheaper on blended LLM API pricing. MiniCPM-SALA costs $0.10 per million input tokens and $0.10 per million output tokens ($0.20 blended 1M-in + 1M-out). Qwen3 VL 30B A3B Thinking costs $0.20 / $1.00 per million tokens ($1.20 blended). Sources: https://www.openbmb.cn/ and https://bailian.console.aliyun.com/. The cheapest LLM for your app still depends on how many output tokens you generate.
MiniCPM-SALA OpenBMB API pricing is $0.10 input and $0.10 output per million tokens via OpenBMB. Qwen3 VL 30B A3B Thinking Qwen API pricing is $0.20 input and $1.00 output per million tokens via Qwen. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
MiniCPM-SALA has a published HumanEval score of 95.1%. Qwen3 VL 30B A3B Thinking does not have that eval on this page yet.
MiniCPM-SALA supports a 33K token context window, while Qwen3 VL 30B A3B Thinking supports 262K tokens. Qwen3 VL 30B A3B Thinking 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.
Qwen3 VL 30B A3B Thinking leads on 4 of 4 shared benchmarks versus MiniCPM-SALA's 0 wins. 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 MiniCPM-SALA and Qwen3 VL 30B A3B Thinking are production API models. For cost-sensitive production traffic, MiniCPM-SALA 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 MiniCPM-SALA through OpenBMB and Qwen3 VL 30B A3B Thinking 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 OpenBMB API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://www.openbmb.cn/ 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.
MiniCPM-SALA supports up to an unspecified number of output tokens per request, while Qwen3 VL 30B A3B Thinking supports up to 33K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Neither MiniCPM-SALA nor Qwen3 VL 30B A3B Thinking has published throughput data on this page yet. 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 MiniCPM-SALA or Qwen3 VL 30B A3B Thinking 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. MiniCPM-SALA costs $0.10/M input and $0.10/M output. Qwen3 VL 30B A3B Thinking costs $0.20/M input and $1.00/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
The index
343 models across 36 providers. Search or jump to a lab — every model page stays linked here.
Next step
Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.
