Batch API AI models: about half price if the answer can wait
| # | AI model | Capabilities | API $/1M (in / out) | Context window | Price / mo | Output $/1M | Overview | Visit site |
|---|---|---|---|---|---|---|---|---|
| 121 | GPT-5.2-Codex OpenAI | $1.75 / $14 | 400K tokens | API only | 14 | View | ||
| 122 | Qwen3.5 Plus 2026-02-15 Qwen | $0.26 / $1.56 | 1M tokens | API only | 1.56 | View | ||
| 123 | Qwen3.5 Plus 2026-04-20 Qwen | $0.3 / $1.8 | 1M tokens | API only | 1.8 | View | ||
| 124 | Qwen3 Coder Plus Qwen | $0.65 / $3.25 | 1M tokens | API only | 3.25 | View | ||
| 125 | GPT-5.1-Codex-Mini OpenAI | $0.25 / $2 | 400K tokens | API only | 2 | View | ||
| 126 | GPT-5.4 Image 2 OpenAI | $8 / $15 | 272K tokens | API only | 15 | View | ||
| 127 | Nano Banana (Gemini 2.5 Flash Image) Google | $0.3 / $2.5 | 32.8K tokens | API only | 2.5 | View | ||
| 128 | GLM 4.6V Z.ai | $0.3 / $0.9 | 131.1K tokens | API only | 0.9 | View | ||
| 129 | GPT-5.1-Codex OpenAI | $1.25 / $10 | 400K tokens | API only | 10 | View | ||
| 130 | MiniMax M2.1 MiniMax | $0.3 / $1.2 | 204.8K tokens | API only | 1.2 | View | ||
| 131 | Nano Banana Pro (Gemini 3 Pro Image) Google | $2 / $12 | 131.1K tokens | API only | 12 | View | ||
| 132 | MiniMax M2-her MiniMax | $0.3 / $1.2 | 65.5K tokens | API only | 1.2 | View | ||
| 133 | MiniMax M2 MiniMax | $0.255 / $1.02 | 204.8K tokens | API only | 1.02 | View | ||
| 134 | GPT-5.5 Pro OpenAI | $30 / $180 | 1.05M tokens | API only | 180 | View | ||
| 135 | GPT-5.1-Codex-Max OpenAI | $1.25 / $10 | 400K tokens | API only | 10 | View | ||
| 136 | Qwen3 Max Thinking Qwen | $0.78 / $3.9 | 262.1K tokens | API only | 3.9 | View | ||
| 137 | GPT Audio Mini OpenAI | $0.6 / $2.4 | 128K tokens | API only | 2.4 | View | ||
| 138 | GPT-5 Image Mini OpenAI | $2.5 / $2 | 400K tokens | API only | 2 | View | ||
| 139 | GPT-5.4 Pro OpenAI | $30 / $180 | 1.05M tokens | API only | 180 | View | ||
| 140 | Mistral Large 3 Mistral AI | $0.5 / $1.5 | 256K tokens | API only | 1.5 | View |
Browse by need
Batch processing queues your requests for asynchronous execution and charges roughly half the standard rate. There is no latency guarantee - results arrive within hours rather than seconds - which makes it the single largest lever on cost for any workload that does not need an immediate answer.
140 models offer it. Typical candidates: overnight document pipelines, bulk classification, dataset labelling, embedding backfills, scheduled reports. Anything driving a live chat window is not a candidate. Combined with prompt caching, a batch pipeline on a mid-tier model lands close to budget-tier pricing while keeping mid-tier quality.
Models with this capability
The 140 models below all support this capability. Prices are input and output per 1M tokens from the vendor official price list; for dirhams multiply by 3.6725. Tap a card to open the model page.
How to choose
- Identify which workloads genuinely tolerate delay — most back-office work does.
- Size batches to the vendor limits rather than sending one giant job.
- Build retry handling: partial failures inside a batch are normal.
- Recheck economics after enabling caching; the combination often changes the model choice.
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