Which is cheaper, Gemma 4 31B or Qwen3 VL 32B Instruct?
As of August 25, 2026, Qwen3 VL 32B Instruct is 4% cheaper on blended LLM API pricing. Qwen3 VL 32B Instruct costs $0.10 per million input tokens and $0.42 per million output tokens ($0.52 blended 1M-in + 1M-out). Gemma 4 31B costs $0.14 / $0.40 per million tokens ($0.54 blended). Sources: https://ai.google.dev/gemini-api/docs/pricing and https://openrouter.ai/api/v1/models. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Gemma 4 31B vs Qwen3 VL 32B Instruct cost per million tokens?
Gemma 4 31B Gemini API pricing is $0.14 input and $0.40 output per million tokens via Google. Qwen3 VL 32B Instruct OpenRouter API pricing is $0.10 input and $0.42 output per million tokens via OpenRouter. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, Gemma 4 31B or Qwen3 VL 32B Instruct?
Neither Gemma 4 31B nor Qwen3 VL 32B Instruct has a published SWE-bench or LiveCodeBench score on this page yet. Use the comparison table for the evals that do exist.
What is the context window for Gemma 4 31B vs Qwen3 VL 32B Instruct?
Gemma 4 31B supports a 262K token context window, while Qwen3 VL 32B Instruct supports 262K 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.
Which model performs better on benchmarks, Gemma 4 31B or Qwen3 VL 32B Instruct?
Gemma 4 31B leads on 5 of 5 shared benchmarks versus Qwen3 VL 32B Instruct'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.
Is Gemma 4 31B or Qwen3 VL 32B Instruct better for production use?
Both Gemma 4 31B and Qwen3 VL 32B Instruct are production API models. For cost-sensitive production traffic, Qwen3 VL 32B Instruct 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.
Can I switch between Gemma 4 31B and Qwen3 VL 32B Instruct in my app?
Yes. Call Gemma 4 31B through Google and Qwen3 VL 32B Instruct through OpenRouter 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.
How accurate is this Gemma 4 31B vs Qwen3 VL 32B Instruct pricing data?
List rates are the latest published Gemini API pricing and OpenRouter API pricing, quoted per million tokens. Official rate sheets: https://ai.google.dev/gemini-api/docs/pricing and https://openrouter.ai/api/v1/models. 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.
What is the output token limit for Gemma 4 31B and Qwen3 VL 32B Instruct?
Gemma 4 31B supports up to 131K output tokens per request, while Qwen3 VL 32B Instruct 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.
Which model has better throughput, Gemma 4 31B or Qwen3 VL 32B Instruct?
Gemma 4 31B has a measured throughput of approximately 1.2 tokens/second. Throughput data for Qwen3 VL 32B Instruct 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.
How do I switch the models in this Gemma 4 31B vs Qwen3 VL 32B Instruct comparison?
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 VL 32B Instruct from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
