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 |
|---|---|---|---|---|---|---|---|---|
| 81 |  GPT-5.6 Luna Pro OpenAI |    | $0.2 / $1.2 | 1.05M tokens | API only | 1.2 | View | |
| 82 |  Gemma 4 26B A4B Google |  | $0.07 / $0.34 | 262.1K tokens | API only | 0.34 | View | |
| 83 |  Qwen3.7 Flash Qwen | | $0.03 / $0.13 | 1M tokens | API only | 0.13 | View | |
| 84 | Qwen3.8 Flash Qwen | | $0.15 / $0.47 | 1M tokens | API only | 0.47 | View | |
| 85 |  Kimi K2.6 Moonshot AI | | $0.95 / $4 | 262.1K tokens | API only | 4 | View | |
| 86 |  Claude Opus 4.6 Anthropic | | $5 / $25 | 1M tokens | API only | 25 | View | |
| 87 | GPT-5.6 Sol Pro OpenAI | | $2 / $10 | 1.05M tokens | API only | 10 | View | |
| 88 | GPT-6 Astra Pro OpenAI | | $10 / $50 | 1.05M tokens | API only | 50 | View | |
| 89 | Claude Opus 4.7 Anthropic | | $5 / $25 | 1M tokens | API only | 25 | View | |
| 90 | Qwen3.5-Flash Qwen | | $0.065 / $0.26 | 1M tokens | API only | 0.26 | View | |
| 91 | Kimi K2.5 Moonshot AI | | $0.45 / $2.25 | 262.1K tokens | API only | 2.25 | View | |
| 92 | Qwen3.6 35B A3B Qwen | | $0.1 / $0.9 | 262.1K tokens | API only | 0.9 | View | |
| 93 |  GLM 4.7 Z.ai |   | $0.4 / $1.75 | 204.8K tokens | API only | 1.75 | View | |
| 94 | GPT-5.2 OpenAI | | $1.75 / $14 | 400K tokens | API only | 14 | View | |
| 95 | Qwen3.5-35B-A3B Qwen | | $0.3125 / $1.25 | 262.1K tokens | API only | 1.25 | View | |
| 96 | GLM 5 Z.ai |  | $0.6 / $1.92 | 204.8K tokens | API only | 1.92 | View | |
| 97 | Qwen3.5-9B Qwen | | $0.1 / $0.15 | 262.1K tokens | API only | 0.15 | View | |
| 98 |  Grok 4.20 xAI | | $1.25 / $2.5 | 2M tokens | API only | 2.5 | View | |
| 99 | Qwen3 VL 32B Instruct Qwen | | $0.104 / $0.416 | 131.1K tokens | API only | 0.416 | View | |
| 100 |  MiniMax M2.5 MiniMax | | $0.27 / $1.08 | 204.8K tokens | API only | 1.08 | 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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