As of August 25, 2026, Gemma 4 26B-A4B is 2% cheaper per million tokens than Qwen3 32B. Gemma 4 26B-A4B is $0.13 / $0.40 per million input/output tokens versus Qwen3 32B 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 26B-A4B
Input
$0.13
Output
$0.40
Qwen3 32B
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.
SciCode. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.
Gemma 4 26B-A4BQwen3 32BVerdict
Both models are closely matched on benchmarks. Gemma 4 26B-A4B 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, Gemma 4 26B-A4B is 2% cheaper on blended LLM API pricing. Gemma 4 26B-A4B costs $0.13 per million input tokens and $0.40 per million output tokens ($0.53 blended 1M-in + 1M-out). Qwen3 32B 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 26B-A4B Gemini API pricing is $0.13 input and $0.40 output per million tokens via Google. 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%. Gemma 4 26B-A4B does not have that eval on this page yet.
Gemma 4 26B-A4B supports a 262K token context window, while Qwen3 32B supports 128K tokens. Gemma 4 26B-A4B 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 26B-A4B and Qwen3 32B are tied across 2 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 Gemma 4 26B-A4B and Qwen3 32B are production API models. For cost-sensitive production traffic, Gemma 4 26B-A4B 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 26B-A4B through Google 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 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 26B-A4B supports up to 131K 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.
Qwen3 32B has a measured throughput of approximately 32.4 tokens/second. Throughput data for Gemma 4 26B-A4B 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 Gemma 4 26B-A4B 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. Gemma 4 26B-A4B costs $0.13/M input and $0.40/M output. 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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