What is the cheapest AI inference API in 2026?

For open-weight models, DeepInfra, Novita, and OpenRouter keep winning our weekly checks: small models from 4 to 5 cents per 1M output tokens, 120B-class models around 17 cents, DeepSeek-V3 under a dollar. The cheapest frontier options are the vendors' own mini tiers at 2 to 5 dollars.

Is cheap inference lower quality?

Same weights, usually the same outputs. The real differences are rate limits, occasional aggressive quantization, and less mature tooling. Run a day of real traffic through a cheap host before moving volume; most teams find no measurable quality drop for product workloads.

How big is the price spread for the same model?

Routinely 2x to 4x between hosts, and up to 7x on some models we track. The spread is the whole reason per-model price rankings exist: picking the right host is the easiest cost cut in AI.

Should I use an aggregator like OpenRouter or go direct?

Aggregators give one key, automatic failover, and sometimes the lowest price; direct hosts give tighter control and occasionally undercut them. Many teams prototype on an aggregator and go direct for their highest-volume model.

How often do these prices change?

Monthly at least. Our last weekly re-check corrected 36 prices across 88 model tables, some by 2x or more in either direction. Never hardcode a provider decision from a blog post, including this one; check the live table.

Cheapest AI Inference API in 2026: Ranked by Real Prices

The cheapest AI inference APIs in 2026, ranked from live weekly price checks: open-weight LLMs from 4 cents per 1M tokens, and how to pick a host.

The cheapest AI inference API in 2026 depends entirely on the model you want to run, because the market has split: frontier models cost dollars per million output tokens on their makers' endpoints, while open-weight models are served by a dozen competing hosts for cents. This page is the shortcut: what genuinely cheap inference looks like right now, which hosts keep winning our weekly price checks, and how to choose without benchmarking all of them yourself.

All numbers below come from our live rankings, which re-check 88 models across every known provider weekly. Prices move monthly, so treat the live tables as the source of truth.

The cheapest inference right now, by tier

Per 1M output tokens, cheapest verified endpoint from our latest check:

Tier	Model	From	Where
Tiny	Mistral Nemo	4 cents	DeepInfra
Small	Llama 3.1 8B	5 cents	DeepInfra, Novita
Mid	gpt-oss-20b	14 cents	DeepInfra
Large	gpt-oss-120b	17 cents	DeepInfra
Large	Llama 4 Scout	30 cents	DeepInfra
Very large	Llama 3.3 70B	32 cents	OpenRouter
Flagship-class open	DeepSeek-V3	89 cents	DeepInfra
Reasoning	DeepSeek-R1	2.15 dollars	DeepInfra

For context, frontier flagships list at 10 to 30 dollars per 1M output tokens. If your workload does not need frontier reasoning, the cheapest inference API is effectively always an open-weight model on a discount host, at 1 to 3 percent of flagship cost. The full comparison lives in LLM API pricing in 2026.

Who actually wins on price

Six names keep appearing at the top of our tables:

DeepInfra: the most frequent cheapest-endpoint winner across LLMs and Whisper transcription. See DeepInfra pricing in 2026.
Novita: consistently within cents of the leader across a large open-model catalog. See Novita AI pricing in 2026.
OpenRouter: an aggregator rather than a host; sometimes routes below every direct provider, and its free routes are unbeatable for development. See OpenRouter free models.
Groq and Cerebras: rarely the absolute cheapest, but the fastest tokens per second, which matters when latency is the real cost.
Together AI and Fireworks: mid-priced but production-grade, with wide model coverage and startup credit programs in the catalog.

Price is not the whole bill

Three things make nominally cheap inference expensive:

Rate limits: a cheap host that throttles you into retries is not cheap. Check advertised limits at your tier before committing volume.
Quantization and quality drift: some discount hosts serve more aggressively quantized weights. For most product tasks it does not matter; for evals it can. Test one day of real traffic before switching.
Egress and hidden per-request fees: rare among the majors we track, but read the pricing page. Our tables normalize to the posted per-token price.

The practical playbook: develop on free keys, pick your model, then take the cheapest host for that exact model from the rankings. Switching hosts later is usually a one-line base URL change, so the cost of a wrong first pick is nearly zero.

Cut it further

Cheap inference stacks with everything else: batch discounts halve frontier bills, caching discounts repeated prefixes, and startup credits cover months of usage before you pay cash. The 80 percent playbook is in how to cut your OpenAI API bill, and most of it applies to any provider.

Bottom line

Cheapest inference in 2026: an open-weight model on DeepInfra, Novita, or OpenRouter, at 4 to 90 cents per 1M output tokens depending on size, versus 10 to 30 dollars for frontier flagships. Match the model to the task, take the cheapest verified host from the live rankings, and claim the credits in the catalog before spending real money.