Batch API AI models: about half price if the answer can wait

Batch API
Services found: 140
#AI modelCapabilitiesAPI $/1M (in / out)Context windowPrice / moOutput $/1MOverviewVisit site
101

Qwen3 VL 235B A22B Instruct

Qwen
Text & chatVisionReasoning
$0.21 / $1.9262.1K tokensAPI only1.9View
102

GPT-5.6 Terra Pro

OpenAI
Text & chatVisionReasoning
$2 / $121.05M tokensAPI only12View
103

GPT-5.1

OpenAI
Text & chatVisionReasoning
$1.25 / $10400K tokensAPI only10View
104

Qwen3.6 Plus

Qwen
Text & chatVisionVideo
$0.325 / $1.951M tokensAPI only1.95View
105

Claude Opus 4.5

Anthropic
Text & chatVisionReasoning
$5 / $25200K tokensAPI only25View
106

GLM 4.7 Flash

Z.ai
Text & chatVisionStructured JSON output
$0.0605 / $0.4202.8K tokensAPI only0.4View
107

Qwen3 VL 8B Instruct

Qwen
Text & chatVisionReasoning
$0.117 / $0.455262.1K tokensAPI only0.455View
108

GLM 4.6

Z.ai
Text & chatStructured JSON outputPrompt caching
$0.43 / $1.75204.8K tokensAPI only1.75View
109

Qwen3.6 Flash

Qwen
Text & chatVisionVideo
$0.1875 / $1.1251M tokensAPI only1.125View
110

Qwen3.5-27B

Qwen
Text & chatVisionVideo
$0.195 / $1.56262.1K tokensAPI only1.56View
111

Qwen3 Next 80B A3B Instruct

Qwen
Text & chatReasoningAdjustable thinking
$0.09 / $1.1262.1K tokensAPI only1.1View
112

Qwen3 VL 30B A3B Instruct

Qwen
Text & chatVisionReasoning
$0.15 / $0.6262.1K tokensAPI only0.6View
113

gpt-oss-safeguard-20b

OpenAI
Text & chatStructured JSON outputCode execution
$0.075 / $0.3131.1K tokensAPI only0.3View
114

GLM 5V Turbo

Z.ai
Text & chatVisionVideo
$1.2 / $4202.8K tokensAPI only4View
115

Nano Banana 2 (Gemini 3.1 Flash Image)

Google
VisionAdjustable thinkingImage generation
$0.5 / $3131.1K tokensAPI only3View
116

Qwen3 Max

Qwen
Text & chatReasoningAdjustable thinking
$0.78 / $3.9262.1K tokensAPI only3.9View
117

Qwen3 Coder Flash

Qwen
Text & chatVisionCoding
$0.195 / $0.9751M tokensAPI only0.975View
118

GLM 5 Turbo

Z.ai
Text & chatReasoningTool calling
$1.2 / $4202.8K tokensAPI only4View
119

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

Google
VisionAdjustable thinkingImage generation
$0.25 / $1.565.5K tokensAPI only1.5View
120

Kimi K2 Thinking

Moonshot AI
Text & chatReasoningTool calling
$0.6 / $2.5262.1K tokensAPI only2.5View

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.

Half price, no promisesRoughly 50% off in exchange for hours of latency instead of seconds.
Stacks with cachingBatch halves everything; caching cuts the repeated input on top of that.
Not for anything liveA user waiting on screen rules batch out entirely.

Models with this capability

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.

Common mistakes

Batching interactive featuresHalving the cost of something users wait for is a false economy.
Ignoring batch entirelyTeams routinely pay double for pipelines that could run overnight.

Who this suits

Data teamsLabelling, enrichment and backfills over large corpora.
ReportingScheduled summaries and digests that run on a clock.
Migration projectsOne-off passes over an archive where hours are irrelevant.

Frequently asked questions

How long does a batch take?

Hours rather than seconds. There is no latency guarantee, which is exactly why it costs half.

What workloads suit batch?

Overnight document pipelines, bulk classification, dataset labelling, embedding backfills, scheduled reports. Never a live chat window.

Can I combine batch with caching?

Yes, and it compounds: batch halves the whole bill, caching cuts the repeated input portion by up to 90%.

Is quality identical to standard mode?

Yes — same model, same weights. Only scheduling differs.

Can I cancel a running batch?

Most vendors allow it, though tokens already processed are billed.

Frequently searched

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