Model index · Text · text generation · standard · OpenAI · released 2024-01-25

GPT-3.5 Turbo pricing

Served by 2 providers from $0.7500 to $0.7500 per 1M tokens on the standard tier.

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.

OpenAI · first published 2024-01-25 · Text model · text generation · 16k context · description as published by the source, not written by us

$0.7500

Cheapest standard /1M — OpenAI

16k

Native context window

3

Providers serving it

Quality not measured yet

Quality not measured yet

We measure models on request rather than pre-scoring the whole catalog, so this one has no score yet. Absence of a score is not a low score.

Every provider and service tier

Standard on-demand rows first, cheapest of each group first. Tiers are not interchangeable — see the note below the table.

Provider In /1M Out /1M Blended /1M Tier Region Source
OpenAI cheapest standard $0.5000 $1.50 $0.7500 standard third_party
OpenRouter (default route) *
resells other hosts
$0.5000 $1.50 $0.7500 standard provider_api
OpenRouter (default route) *
resells other hosts
$0.2500 $0.7500 $0.3750 batch provider_api

Not every row is the same product

This table mixes service tiers, and they are not interchangeable. Rows marked standard are ordinary on-demand requests. The others trade delivery for price:

  • batch — submitted as a batch and collected later, typically within 24 hours — not for interactive use

Every comparison elsewhere on this site uses the standard tier, so a model is never shown at a queued rate beside another model's on-demand rate.

Cheaper if your workload can wait: batch at $0.3750 per 1M on OpenRouter — 50% below standard , submitted as a batch and collected later, typically within 24 hours — not for interactive use.

* OpenRouter chooses a host for each request, and the figure above is what its default choice costs — not a fixed rate for this model. Selecting a specific host through the same account costs whatever that host charges, which is why this row can sit above or below the hosts listed beside it. Token rates are passed through from the underlying provider with no markup, so the per-1M price above is what that host charges directly — OpenRouter's own charge sits on funding instead: 5.5% (min $0.80) by Stripe or 5% by Coinbase to buy credits, 5% of the equivalent spend if you bring your own provider key. So budget about 5% above the rate shown unless you already hold credit. Fee schedule.

Compare GPT-3.5 Turbo with alternatives

One model per vendor, ordered by how prominent the vendor is and how many independent providers serve the model — hosts only carry what customers ask for, so that is a real demand signal. This is not traffic or popularity data, which we do not have. Every alternative below does the same job — text generation — because a price comparison between a generator and, say, an upscaler is arithmetic rather than advice. Prices on both sides are standard on-demand rates, so the comparison is like for like — a discounted batch or flex rate is never shown against another model’s standard rate.

AlternativeVendor $/1M vs GPT-3.5 Turbo QualityKindContextHosts
Mistral Large Mistral $0.7500
Amazon (Bedrock)
0% dearer 0/100 standard 262k 2
WizardLM-2 8x22B Microsoft $0.4800
DeepInfra
36% cheaper 100/100 standard 66k 3
Qwen2.5 VL 72B Instruct Alibaba $0.3750
Nebius
50% cheaper 20/100 standard
open weights
128k 2
Kimi K2 0905 MoonshotAI $1.00
OpenRouter (default route)
34% dearer not measured standard 262k 2
Command R (08-2024) Cohere $0.2625
Cohere
65% cheaper not measured standard 128k 1
Llama 3.1 8B Instruct Meta $0.0250
DeepInfra
97% cheaper not measured standard
open weights
131k 6
Hermes 3 70B Instruct Nous $0.7000
DeepInfra
7% cheaper not measured standard
open weights
131k 4
DeepSeek V3 DeepSeek $0.4502
OpenRouter (default route)
40% cheaper not measured standard 164k 3

Prices are the cheapest host for each model, blended at a 3:1 input:output ratio. "Quality" is our own probe suite where we have run it — see what it measures. A cheaper alternative is only a real saving if it also passes on the capability your workload needs.

6 of these alternatives cost less than GPT-3.5 Turbo — the cheapest being Llama 3.1 8B Instruct at $0.0250 per 1M tokens blended (97% cheaper).

Cheaper is not automatically better: check the quality column, and confirm the context window and capabilities your workload depends on before switching.

Before you switch

Identical weights do not guarantee identical output. Check that the cheaper host serves the model at full precision rather than a quantised copy, that its context window matches what you need, and that its rate limits carry your peak traffic. A cheaper host that cannot take your throughput is not cheaper — it is an outage.

Move to OpenAI without a rewrite

VernaOne fronts every provider on this page with one API, so switching host is a config change — with automatic fallback if quality or latency regresses.

Try VernaOne free →

Frequently asked

How much does GPT-3.5 Turbo cost?

The cheapest standard-tier provider is OpenAI at $0.7500 per 1M tokens blended (3:1 input:output). A batch tier is available at $0.3750, 50% less, if the work can be collected later. Prices change often; verify with the provider before budgeting.

Which provider is best for GPT-3.5 Turbo?

Cheapest is not automatically best. Compare quantisation (a lossy copy of the weights changes output), the context window each host actually serves, and rate limits. Where a provider serves less context than the model's native window we flag it in the table above.

Can I switch providers for GPT-3.5 Turbo without changing code?

Yes, if you route through an abstraction. VernaOne exposes one API across every provider listed here, so switching host is a config change and you keep automatic fallback if the new one degrades.

← All models · Generated catalog of AI models and every provider that serves them, with normalised prices in USD per 1,000,000 tokens. Blended prices assume a 3:1 input:output ratio.