As of August 20, 2026, Laguna S 2.1 is 57% cheaper per million tokens than Qwen3 VL 4B Instruct. Laguna S 2.1 is $0.10 / $0.20 per million input/output tokens versus Qwen3 VL 4B Instruct at $0.10 / $0.60. Sources: https://poolside.ai and https://bailian.console.aliyun.com/
Sources: Poolside pricing (https://poolside.ai); Qwen pricing (https://bailian.console.aliyun.com/)
Laguna S 2.1
Poolside
Input
$0.10
Output
$0.20
Qwen3 VL 4B Instruct
Qwen
Input
$0.10
Output
$0.60
Token pricing, specs, and benchmarks side by side
Laguna S 2.1Qwen3 VL 4B InstructVerdict
Both models are closely matched on benchmarks. Laguna S 2.1 has the pricing advantage, making it the better value unless Qwen3 VL 4B Instruct's specific capabilities are critical to your workflow.
As of August 20, 2026, Laguna S 2.1 is 57% cheaper on blended LLM API pricing. Laguna S 2.1 costs $0.10 per million input tokens and $0.20 per million output tokens ($0.30 blended 1M-in + 1M-out). Qwen3 VL 4B Instruct costs $0.10 / $0.60 per million tokens ($0.70 blended). Sources: https://poolside.ai and https://bailian.console.aliyun.com/. The cheapest LLM for your app still depends on how many output tokens you generate.
Laguna S 2.1 Poolside API pricing is $0.10 input and $0.20 output per million tokens via Poolside. Qwen3 VL 4B Instruct Qwen API pricing is $0.10 input and $0.60 output per million tokens via Qwen. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Laguna S 2.1 has a published SWE-bench Pro score of 59.4%. Qwen3 VL 4B Instruct does not have that eval on this page yet.
Laguna S 2.1 supports a 1M token context window, while Qwen3 VL 4B Instruct supports 262K tokens. Laguna S 2.1 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.
Shared benchmark scores for Laguna S 2.1 and Qwen3 VL 4B Instruct are still limited. Check the comparison table for the evals each model has published. 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 Laguna S 2.1 and Qwen3 VL 4B Instruct are production API models. For cost-sensitive production traffic, Laguna S 2.1 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 Laguna S 2.1 through Poolside and Qwen3 VL 4B Instruct 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 Poolside API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://poolside.ai 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.
Laguna S 2.1 supports up to an unspecified number of output tokens per request, while Qwen3 VL 4B Instruct supports up to 262K 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 Laguna S 2.1 nor Qwen3 VL 4B Instruct 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 Laguna S 2.1 or Qwen3 VL 4B 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.
This comparison covers API pricing, context window, throughput, and benchmark scores. Laguna S 2.1 costs $0.10/M input and $0.20/M output. Qwen3 VL 4B Instruct costs $0.10/M input and $0.60/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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