Baichuan4-Air
Input price$0.136
Output price$0.136
BaichuanText
Baichuan4
Baichuan4 is Baichuan's model at $13.89 input and $13.89 output per million tokens, with a 32K context window. On a typical 3:1 input-to-output mix that blends to roughly $13.89 per million tokens, placing it in the premium band of the 68 models tracked here — cheaper than 3% of them.
Context window32K
Input price$13.89 / 1M
Output price$13.89 / 1M
Output speed60 tok/s
Quality score80
Data updatedUpdated Aug 2026
Price verified2026-08-06 · Manual
Price noteSingle official rate of ¥0.1 per 1K tokens for both directions; converted at 7.2 CNY/USD
By price, Baichuan4 ranks 68th cheapest of 68 on input and 62nd on output. Its quality score of 80 ranks 49th of 68, and on value (quality score ÷ output price) it ranks 61st of 68. Its blended rate sits 406% above the catalog average.
In real billing terms: a support chatbot handling 50,000 turns a month (2,000 input / 500 output tokens each) costs about $1,736 per month on Baichuan4, while a RAG workload of 20,000 queries (8,000 input / 800 output tokens each) runs about $2,445. Because output is priced 1.0× input here, long-generation tasks scale cost fastest — cap output length before you optimise anything else.
A 32K context window holds roughly 43 pages of A4 text (at ~750 tokens per page), ranking 65th of 68 here. That is on the smaller side, so long documents need retrieval and chunking rather than raw stuffing. Output runs at about 60 tok/s (55th fastest of 68), acceptable interactively, though long responses will feel slow.
We track 2 Baichuan models, and Baichuan4's blended rate sits 98% above that provider's average. If your task tolerates a little less headroom, qwen3.5-flash (Alibaba) blends about 100% cheaper at a quality score of 82, and is worth benchmarking first. Nothing in the catalog scores higher on quality, so this is the ceiling.
The closest model in Baichuan's line-up is Baichuan4-Air ($0.14 input / $0.14 output, quality 70). Against it, Baichuan4 scores 10 points higher on quality, runs 120 tok/s slower (about 67%), costs 99% more blended. When two models sit this close on price, the deciding factor is usually the quality ceiling — run both against your real prompts before picking.
Estimated monthly cost
Monthly API spend across four common workloads, next to the cheapest model we track.
| Workload | Usage assumption | This model | Cheapest model |
|---|---|---|---|
| Support chatbot | 2,000 input / 500 output tokens per turn, 50,000 turns per month | $1,736 | $3.00 |
| RAG document Q&A | 8,000 input / 800 output tokens per query, 20,000 queries per month | $2,445 | $3.84 |
| Coding assistant | 12,000 input / 2,000 output tokens per request, 10,000 requests per month | $1,945 | $3.20 |
| Batch summarization | 4,000 input / 400 output tokens per item, 200,000 items per month | $12,223 | $19 |
Derived directly from the rates on this page. Excludes prompt caching, batch discounts and free tiers.
How it compares
The alternatives worth benchmarking alongside it, from the same dataset.
| Model | Provider | Blended /1M | Quality | Price delta |
|---|---|---|---|---|
| Baichuan4 | Baichuan | $13.89 | 80 | — |
| qwen3.5-flashCheaper option | Alibaba | $0.055 | 82 | -100% |
| Baichuan4-AirSame provider | Baichuan | $0.14 | 70 | -99% |
Best for
ChatbotReasoning
Modalities
Text
Where it fits — and where it doesn't
Good fit
- Reasoning: multi-step decomposition, planning and tasks that need rigorous inference.
- Chat and support: natural multi-turn conversation for user-facing products.
Poor fit
- High-frequency batch jobs: at $13.89 blended per million tokens, bills scale quickly at volume.
- Whole-document ingestion: a 32K window needs RAG chunking for large files.
- Hard reasoning: a quality score of 80 is on the low side here; pick a stronger model for complex planning or maths.
- Image understanding: this model is text-only, so vision tasks need a multimodal alternative.
Frequently asked questions
How much does the Baichuan4 API cost?
Baichuan4 costs $13.89 per million input tokens and $13.89 per million output tokens. On a 3:1 input-to-output mix that blends to about $13.89 per million tokens.
What does Baichuan4 cost per month?
It depends on volume. Using the four worked scenarios on this page: a support chatbot runs about $1,736/month, RAG document Q&A about $2,445/month, a coding assistant about $1,945/month, and batch summarization about $12,223/month. Plug your own token counts into the cost calculator for a tailored figure.
How large is the Baichuan4 context window?
32K tokens — roughly 43 pages of A4 text at ~750 tokens per page, ranking 65th of the 68 models tracked here.
Baichuan4 or qwen3.5-flash — which is better value?
qwen3.5-flash blends to about $0.055 per million tokens versus $13.89 for Baichuan4 — roughly 100% cheaper — at a quality score of 82 against 80. If that quality gap does not show up on your task, take the cheaper one; if it does, stay with Baichuan4. Benchmark both on your own data before deciding.
What is Baichuan4 best suited for?
Tagged use cases: chatbot, reasoning. Reasoning: multi-step decomposition, planning and tasks that need rigorous inference. Less suitable: High-frequency batch jobs: at $13.89 blended per million tokens, bills scale quickly at volume.
How current is this Baichuan4 pricing?
Pricing here was last verified on 2026-08-06 against manual review. llmprice.app runs a daily collection job, but providers can change rates between runs — confirm against Baichuan's official pricing page before you commit.
Estimate the real cost of this model
Bring tokens per request and monthly volume into the calculator to compare total model costs.
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Pricing, speed and quality scores change over time. Confirm official documentation before production use.