As of August 25, 2026, Gemma 4 31B and Qwen3 30B A3B have the same blended API cost at $0.54 per 1 million input plus 1 million output tokens. Gemma 4 31B is $0.14 / $0.40 per million tokens versus Qwen3 30B A3B at $0.10 / $0.44. Sources: https://ai.google.dev/gemini-api/docs/pricing and https://bailian.console.aliyun.com/
Sources: Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing); Qwen pricing (https://bailian.console.aliyun.com/)
Gemma 4 31B
Input
$0.14
Output
$0.40
Qwen3 30B A3B
Qwen
Input
$0.10
Output
$0.44
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.
GPQA. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.
Gemma 4 31BQwen3 30B A3BVerdict
Gemma 4 31B offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.
As of August 25, 2026, Gemma 4 31B is 0% cheaper on blended LLM API pricing. Gemma 4 31B costs $0.14 per million input tokens and $0.40 per million output tokens ($0.54 blended 1M-in + 1M-out). Qwen3 30B A3B costs $0.10 / $0.44 per million tokens ($0.54 blended). Sources: https://ai.google.dev/gemini-api/docs/pricing and https://bailian.console.aliyun.com/. The cheapest LLM for your app still depends on how many output tokens you generate.
Gemma 4 31B Gemini API pricing is $0.14 input and $0.40 output per million tokens via Google. Qwen3 30B A3B 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 30B A3B has a published LiveCodeBench score of 62.6%. Gemma 4 31B does not have that eval on this page yet.
Gemma 4 31B supports a 262K token context window, while Qwen3 30B A3B supports 128K tokens. Gemma 4 31B 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.
Gemma 4 31B leads on 1 of 1 shared benchmarks versus Qwen3 30B A3B'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 Gemma 4 31B and Qwen3 30B A3B are production API models. For cost-sensitive production traffic, Gemma 4 31B 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 Gemma 4 31B through Google and Qwen3 30B 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 Gemini API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://ai.google.dev/gemini-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.
Gemma 4 31B supports up to 131K output tokens per request, while Qwen3 30B A3B 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.
Gemma 4 31B runs at approximately 1.2 tokens/second while Qwen3 30B A3B runs at 88.8 tokens/second. Qwen3 30B A3B 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 Gemma 4 31B or Qwen3 30B 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. Gemma 4 31B costs $0.14/M input and $0.40/M output. Qwen3 30B A3B 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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