As of August 30, 2026, MiniCPM-SALA is 60% cheaper per million tokens than Qwen2.5-Omni-7B. MiniCPM-SALA is $0.10 / $0.10 per million input/output tokens versus Qwen2.5-Omni-7B at $0.10 / $0.40. Sources: https://www.openbmb.cn/ and https://www.alibabacloud.com/help/en/model-studio/pricing
Sources: OpenBMB pricing (https://www.openbmb.cn/); Qwen pricing (https://www.alibabacloud.com/help/en/model-studio/pricing)
MiniCPM-SALA
OpenBMB
Input
$0.10
Output
$0.10
Qwen2.5-Omni-7B
Qwen
Input
$0.10
Output
$0.40
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.
HumanEval. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.
MiniCPM-SALAQwen2.5-Omni-7BVerdict
MiniCPM-SALA offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.
As of August 30, 2026, MiniCPM-SALA is 60% 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). Qwen2.5-Omni-7B costs $0.10 / $0.40 per million tokens ($0.50 blended). Sources: https://www.openbmb.cn/ and https://www.alibabacloud.com/help/en/model-studio/pricing. 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. Qwen2.5-Omni-7B Qwen API pricing is $0.10 input and $0.40 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 leads on HumanEval: MiniCPM-SALA at 95.1% vs Qwen2.5-Omni-7B at 78.7%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.
MiniCPM-SALA supports a 33K token context window, while Qwen2.5-Omni-7B supports 33K 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.
MiniCPM-SALA leads on 3 of 3 shared benchmarks versus Qwen2.5-Omni-7B'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 Qwen2.5-Omni-7B 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 Qwen2.5-Omni-7B 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://www.alibabacloud.com/help/en/model-studio/pricing. 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 Qwen2.5-Omni-7B supports up to an unspecified number of 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 Qwen2.5-Omni-7B 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 Qwen2.5-Omni-7B 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. Qwen2.5-Omni-7B costs $0.10/M input and $0.40/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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