--- title: "Qwen: Qwen3 30B A3B — price, capability and what beats it · Undominated.ai" canonical: https://undominated.ai/models/qwen__qwen3-30b-a3b/ description: "Qwen: Qwen3 30B A3B: $0.120/M in, $0.500/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements." --- # Qwen: Qwen3 30B A3B — price, capability and what beats it · Undominated.ai > Qwen: Qwen3 30B A3B: $0.120/M in, $0.500/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements. [Check base rates for this workload](/check/qwen__qwen3-30b-a3b/) [Cheaper alternatives](/alternatives/qwen__qwen3-30b-a3b/) [Family](/families/qwen/) [Compare models](https://undominated.ai/compare/?models=qwen%2Fqwen3-30b-a3b) Comparison context Choose up to three standard models in Compare. Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls. MODEL PROOF # Qwen3 30B A3B Qwen · 28 Apr 2025 Balanced Summarise Chat Code gen Agentic BETTER VALUE OPTION ## A stored alternative has an equal-or-higher measured score and an equal-or-lower price. **$0.215** / 1M tokens Balanced · 3 tokens in per 1 out Serving precision differs between offers. [DeepSeek V4.1 Flash](/models/deepseek__deepseek-v4.1-flash/) · Δ score 145.9 points · 15% lower measured price · $0.182 / 1M tokens [Qwen3 235B A22B Instruct 2507](/models/qwen__qwen3-235b-a22b-2507/) is a further stored option with these losses: no extended reasoning Evidence as of 06 Oct 2026 [openrouter/models](https://openrouter.ai/api/v1/models) [LMArena · cc-by-4.0](https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset) Independent LMArena score 1,316.6 ± 4.72 · 26,037 votes Context window 131.07K Maximum output 16.38K Input modalities text Output modalities text Published input price $0.120 / 1M tokens Published output price $0.500 / 1M tokens Pricing kind fixed Inspect [complete billing conditions](#billing-details) and endpoint terms below. Price from DeepInfra: the cheapest offer that is serving, at standard delivery and at a declared precision that is not 4-bit (fp8), at its standard rate. The maker’s own precision is not known. Every price dimension · USD per million tokens | Input | $0.120 /M | | --- | --- | | Output | $0.500 /M | | Cached input | Unknown /M | | Cache write | Unknown /M | | Cache write 1h | Unknown /M | | Reasoning | Unknown /M | ### Who sells it The same weights, different shops. Cheapest is not like-for-like when serving precision differs. Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.120/M from DeepInfra. 2 provider offers · rates, limits and conditions Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test. | Seller | Input | Output | Precision | Uptime (1d) | | --- | --- | --- | --- | --- | | Seller DeepInfra deepinfra/fp8 Endpoint terms Cached input /M Unknown Context limit 40,960 tokens Output limit 16,384 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.88% | Input $0.120 | Output $0.500 | Precision fp8 | Uptime (1d) 99.98% | | Seller Alibaba alibaba Endpoint terms Cached input /M Unknown Context limit 131,072 tokens Output limit 8,192 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.42% | Input $0.130 | Output $0.520 | Precision undeclared | Uptime (1d) 99.85% | ### Independent scores | LMArena Elo | 1316.6 default | | --- | --- | LMArena Elo under CC BY 4.0. Absence of another board is not a score of zero. #### Best rankings by task - Data visualisation #112 974 - UI components #114 952 - Code categories #121 946 - Game development #123 911 - Websites #124 961 Per-task Elo and rank from [Design Arena](https://designarena.ai), via OpenRouter’s model feed. The rank is the feed’s, and it counts models OpenRouter does not list. ### Capability | Context window | 131K | | --- | --- | | Max output | 16K | | Input modes | text | | Tool use | yes | | Reasoning | optional | | Knowledge cutoff | 2025-03-31 | | Open weights | Unknown | ### Provenance | Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) | | --- | --- | | Fetched | 2026-10-06 | | Quality data | verified | Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique... ## Questions this page answers What does Qwen3 30B A3B cost? $0.120/M in, $0.500/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription. Does Qwen3 30B A3B have an independent quality score? Qwen3 30B A3B has an LMArena score in this catalogue. What beats Qwen3 30B A3B? DeepSeek V4.1 Flash has an equal-or-higher measured score and an equal-or-lower price. Does this page use Artificial Analysis scores for Qwen3 30B A3B? No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated. Is the cheapest Qwen3 30B A3B endpoint the same product? Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.120/M from DeepInfra. MODEL MONUMENT ## Save or share this proof Download proof card · 1200 × 630 Preview and more sharing options Qwen: Qwen3 30B A3B. Balanced workload. Better value option available. Evidence as of 06 Oct 2026. Copy model link Download square card · 1080 × 1080 Copy landscape image Share landscape card ## Related - Both better and cheaper [DeepSeek V4.1 Flash](/models/deepseek__deepseek-v4.1-flash/) - Higher score and cheaper, with a named trade [Qwen3 235B A22B Instruct 2507](/models/qwen__qwen3-235b-a22b-2507/) - Nearby on the capability axis [Granite 4.2 8B](/models/ibm-granite__granite-4.2-8b/) - Same vendor [Qwen3 32B](/models/qwen__qwen3-32b/) - Qwen models [Qwen](/providers/qwen/) - Where this model appears [wire](/wire/) - Nearby on the capability axis [GPT-4o (2024-05-13)](/models/openai__gpt-4o-2024-05-13/) - Same vendor [Qwen2.5 72B Instruct](/models/qwen__qwen-2.5-72b-instruct/) - Where this model appears [spreads](/spreads/) - Nearby on the capability axis [o3 Mini](/models/openai__o3-mini/) - Same vendor [Qwen3 235B A22B](/models/qwen__qwen3-235b-a22b/) - Where this model appears [traps](/traps/) ## Badge The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not. Markdown Copy [![Qwen3 30B A3B — Undominated.ai dominance verdict](https://undominated.ai/badge/qwen__qwen3-30b-a3b.svg)](https://undominated.ai/models/qwen__qwen3-30b-a3b/) HTML Copy Qwen3 30B A3B — Undominated.ai dominance verdict Direct file: [https://undominated.ai/badge/qwen__qwen3-30b-a3b.svg](https://undominated.ai/badge/qwen__qwen3-30b-a3b.svg) — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never older than the last deploy. ## Continue your investigation - [Explore model families](/families/) - [Compare a shortlist](/compare/) - [Check a model](/check/) - [Understand the evidence](/methodology/)