Choose Tongyi DeepResearch 30B A3B if…
No advantage on the data we track — pick it for provider preference or output quality on your own prompts.
Tongyi DeepResearch 30B A3B vs OpenAI: gpt-oss-20b (batch)
OpenAI: gpt-oss-20b (batch) comes out ahead on the data we track: 1 advantage and none for Tongyi DeepResearch 30B A3B.
Key numbers
| Spec | Tongyi DeepResearch 30B A3B | OpenAI: gpt-oss-20b (batch) |
|---|---|---|
| Provider | Alibaba | OpenAI |
| Input price (per 1M tokens) | $0.09 | $0.02 |
| Output price (per 1M tokens) | $0.45 | $0.11 |
| Blended price (3:1 input/output) | $0.18 | $0.05 |
| Cheaper than … of all models we track | 71% | 87% |
| Context window | 131K tokens (~197 pages) | 131K tokens (~197 pages) |
| Larger context than … of all models | 23% | 23% |
| Max output per response | 131K tokens (~98,300 words) | 118K tokens (~88,500 words) |
| Input types | text | text |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2025-09-18 | 2025-08-05 |
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What it costs for real workloads
Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
| Workload (per month) | Tongyi DeepResearch 30B A3B | OpenAI: gpt-oss-20b (batch) | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $15.75 | $4.04 | OpenAI: gpt-oss-20b (batch) saves $11.71 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $15.30 | $4.00 | OpenAI: gpt-oss-20b (batch) saves $11.30 |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens) | $16.20 | $4.22 | OpenAI: gpt-oss-20b (batch) saves $11.98 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $9.90 | $2.59 | OpenAI: gpt-oss-20b (batch) saves $7.31 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $4.95 | $1.31 | OpenAI: gpt-oss-20b (batch) saves $3.64 |
Capabilities side by side
| Capability | Tongyi DeepResearch 30B A3B | OpenAI: gpt-oss-20b (batch) | What it lets you do |
|---|---|---|---|
| Tool / function calling | ✓ Yes | ✓ Yes | call your APIs and run agent loops |
| Structured output (JSON schema) | ✓ Yes | ✓ Yes | return JSON that validates against your schema |
| Reasoning / thinking mode | ✓ Yes | ✓ Yes | spend extra tokens thinking before answering hard problems |
| Image input | — | — | read screenshots, charts and scanned pages |
| Audio input | — | — | take speech or audio directly |
| File / PDF input | — | — | accept documents without your own parsing step |
| Image output | — | — | generate images, not just text |
| Built-in web search | — | — | answer from live web results |
| Seed (reproducible sampling) | ✓ Yes | ✓ Yes | repeat a generation for tests and evals |
| Log-probabilities | — | — | read token confidence for classification and scoring |
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
Price history
- Tongyi DeepResearch 30B A3B: price unchanged since we started tracking it on 2026-03-10.
- OpenAI: gpt-oss-20b (batch): input price cut 52% ($0.05 → $0.02/1M), output price cut 44% ($0.20 → $0.11/1M) on 2026-09-23.
| Date | Model | Input / 1M | Output / 1M |
|---|---|---|---|
| 2026-09-23 | OpenAI: gpt-oss-20b (batch) | $0.02 | $0.11 |
Which should you choose?
Choose OpenAI: gpt-oss-20b (batch) if…
- cost matters at scale — it is 74% cheaper on a typical 3:1 input/output mix ($4.04 vs $15.75 a month for 50,000 support chats)
Frequently asked questions
Is Tongyi DeepResearch 30B A3B better than OpenAI: gpt-oss-20b (batch)?
OpenAI: gpt-oss-20b (batch) comes out ahead on the data we track: 1 advantage and none for Tongyi DeepResearch 30B A3B.
Which is cheaper, Tongyi DeepResearch 30B A3B or OpenAI: gpt-oss-20b (batch)?
OpenAI: gpt-oss-20b (batch) is cheaper: $0.05 vs $0.18 per 1M tokens at a typical 3:1 input/output mix, 74% less. For 50,000 support conversations a month that is $4.04 against $15.75.
How much do Tongyi DeepResearch 30B A3B and OpenAI: gpt-oss-20b (batch) cost per million tokens?
Tongyi DeepResearch 30B A3B costs $0.09 per 1M input tokens and $0.45 per 1M output tokens; OpenAI: gpt-oss-20b (batch) costs $0.02 input and $0.11 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, Tongyi DeepResearch 30B A3B or OpenAI: gpt-oss-20b (batch)?
Both take 131K tokens per request — roughly 197 pages of text.
Do Tongyi DeepResearch 30B A3B and OpenAI: gpt-oss-20b (batch) support function calling and JSON output?
Tool calling — Tongyi DeepResearch 30B A3B: yes, OpenAI: gpt-oss-20b (batch): yes. JSON-schema structured output — Tongyi DeepResearch 30B A3B: yes, OpenAI: gpt-oss-20b (batch): yes.
Can Tongyi DeepResearch 30B A3B or OpenAI: gpt-oss-20b (batch) read images?
Neither accepts image input — both are text-in models.
Is Tongyi DeepResearch 30B A3B or OpenAI: gpt-oss-20b (batch) free to use?
No free variant is listed for either; both are pay-per-token.
What is the maximum output length of Tongyi DeepResearch 30B A3B and OpenAI: gpt-oss-20b (batch)?
Tongyi DeepResearch 30B A3B can write up to 131K tokens (about 98,300 words) per response; OpenAI: gpt-oss-20b (batch) up to 118K (about 88,500 words).
When were Tongyi DeepResearch 30B A3B and OpenAI: gpt-oss-20b (batch) released?
Tongyi DeepResearch 30B A3B was listed on 2025-09-18; OpenAI: gpt-oss-20b (batch) on 2025-08-05.
Has the price of Tongyi DeepResearch 30B A3B or OpenAI: gpt-oss-20b (batch) changed?
Tongyi DeepResearch 30B A3B: price unchanged since we started tracking it on 2026-03-10. OpenAI: gpt-oss-20b (batch): input price cut 52% ($0.05 → $0.02/1M), output price cut 44% ($0.20 → $0.11/1M) on 2026-09-23.
About the two models
Tongyi DeepResearch 30B A3B
Tongyi DeepResearch is an agentic large language model developed by Tongyi Lab, with 30 billion total parameters activating only 3 billion per token. It's optimized for long-horizon, deep information-seeking tasks and delivers state-of-the-art performance on benchmarks like Humanity's Last Exam, BrowserComp, BrowserComp-ZH, WebWalkerQA, GAIA, xbench-DeepSearch, and FRAMES. This makes it superior for complex agentic search, reasoning, and multi-step problem-solving compared to prior models. The model includes a fully automated synthetic data pipeline for scalable pre-training, fine-tuning, and reinforcement learning. It uses large-scale continual pre-training on diverse agentic data to boost reasoning and stay fresh. It also features end-to-end on-policy RL with a customized Group Relative Policy Optimization, including token-level gradients and negative sample filtering for stable training. The model supports ReAct for core ability checks and an IterResearch-based 'Heavy' mode for max performance through test-time scaling. It's ideal for advanced research agents, tool use, and heavy inference workflows.
Full Tongyi DeepResearch 30B A3B specs →OpenAI: gpt-oss-20b (batch)
gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...
Full OpenAI: gpt-oss-20b (batch) specs →