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 |
|---|---|---|---|---|---|---|---|---|
| 101 | Qwen3 VL 235B A22B Instruct Qwen | $0.21 / $1.9 | 262.1K tokens | API only | 1.9 | View | ||
| 102 | GPT-5.6 Terra Pro OpenAI | $2 / $12 | 1.05M tokens | API only | 12 | View | ||
| 103 | GPT-5.1 OpenAI | $1.25 / $10 | 400K tokens | API only | 10 | View | ||
| 104 | Qwen3.6 Plus Qwen | $0.325 / $1.95 | 1M tokens | API only | 1.95 | View | ||
| 105 | Claude Opus 4.5 Anthropic | $5 / $25 | 200K tokens | API only | 25 | View | ||
| 106 | GLM 4.7 Flash Z.ai | $0.0605 / $0.4 | 202.8K tokens | API only | 0.4 | View | ||
| 107 | Qwen3 VL 8B Instruct Qwen | $0.117 / $0.455 | 262.1K tokens | API only | 0.455 | View | ||
| 108 | GLM 4.6 Z.ai | $0.43 / $1.75 | 204.8K tokens | API only | 1.75 | View | ||
| 109 | Qwen3.6 Flash Qwen | $0.1875 / $1.125 | 1M tokens | API only | 1.125 | View | ||
| 110 | Qwen3.5-27B Qwen | $0.195 / $1.56 | 262.1K tokens | API only | 1.56 | View | ||
| 111 | Qwen3 Next 80B A3B Instruct Qwen | $0.09 / $1.1 | 262.1K tokens | API only | 1.1 | View | ||
| 112 | Qwen3 VL 30B A3B Instruct Qwen | $0.15 / $0.6 | 262.1K tokens | API only | 0.6 | View | ||
| 113 | gpt-oss-safeguard-20b OpenAI | $0.075 / $0.3 | 131.1K tokens | API only | 0.3 | View | ||
| 114 | GLM 5V Turbo Z.ai | $1.2 / $4 | 202.8K tokens | API only | 4 | View | ||
| 115 | Nano Banana 2 (Gemini 3.1 Flash Image) Google | $0.5 / $3 | 131.1K tokens | API only | 3 | View | ||
| 116 | Qwen3 Max Qwen | $0.78 / $3.9 | 262.1K tokens | API only | 3.9 | View | ||
| 117 | Qwen3 Coder Flash Qwen | $0.195 / $0.975 | 1M tokens | API only | 0.975 | View | ||
| 118 | GLM 5 Turbo Z.ai | $1.2 / $4 | 202.8K tokens | API only | 4 | View | ||
| 119 | Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) Google | $0.25 / $1.5 | 65.5K tokens | API only | 1.5 | View | ||
| 120 | Kimi K2 Thinking Moonshot AI | $0.6 / $2.5 | 262.1K tokens | API only | 2.5 | 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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