Baseten vs OpenAI
SEPT 2026 auditA comparison of Baseten and OpenAI built from values read directly from each provider's own documentation, with the source recorded against every figure.
The short answer
Choose Baseten if…
Teams that want per-token APIs and dedicated GPUs from one vendor with no plan fee — minute-granularity billing means a model that runs for ten minutes costs ten minutes.
Editorial · Palash Bagchi · approved
Choose OpenAI if…
Work that fits inside the short-context rate, where the cheapest tier is $0.20 per million input tokens and the batch tier halves everything above it.
Editorial · Palash Bagchi · approved
Consider something else if…
- Baseten: Its dedicated H100 works out at $6.50 an hour, roughly three times DeepInfra's, so steady GPU workloads pay a premium for the platform around them.
- OpenAI: Long prompts cross into the long-context rate and roughly double the bill, which is a cliff the flat-rate vendors do not have.
6 sourced criteria separate them — see where, with sources, below.
Pick the criteria you care about. The chart counts how many of them lean toward each provider — the same read as scanning the bars below, just totalled for the ones you chose.
Baseten 0
OpenAI 0
At a glance.
| Criterion | Baseten | OpenAI |
|---|---|---|
| Pricing | ||
| Pricing model | No platform fee: per-token Model APIs for open models, and dedicated deployments billed per minute of compute with volume discounts. The Pro tier buys priority access to high-demand GPUs rather than a lower rate. | Per million tokens, with a second rate above the short-context threshold — long-context input and output cost roughly double. Batch, Flex, Fast and standard tiers are priced separately, and regional processing adds a 10% uplift on models released from March 2026. |
| Inference | ||
| Input price, top model | $1.40 per million input tokens for GLM-5.3, with cached input at $0.14 and output at $4.40. GLM-5.2 Fast, a speed variant, is $2.10. | $10 per million input tokens for gpt-6-astra at short context, rising to $20 above the short-context threshold. gpt-5.6-sol is $4 and gpt-5.6-terra $2. |
| Output price, top model | $4.40 per million output tokens for GLM-5.3. | $50 per million output tokens for gpt-6-astra at short context, $75 at long context. |
| Input price, cheapest model | $0.10 per million input tokens for GPT OSS 120B, with output at $0.50. GLM-5.3-Flash is $0.15 in and $0.50 out. | $0.20 per million input tokens for gpt-5.6-luna at short context, with output at $1.20. |
| Context window | 1,048K tokens on the DeepSeek V4 line and the GLM 5.2/5.3 family, the widest it serves; 262K on the Kimi K2 models, 200K on GLM 4.7 and 128K on GPT OSS 120B. Baseten's table publishes these in thousands, so the magnitude is 1,048,000 rather than the 1,048,576 a power-of-two reading would give — the vendor's own figure, not a conversion of it. | 1,050,000 tokens on gpt-6-astra, of which at most 922,000 may be input. |
| Max output tokens | 262K tokens on most models, and it is a separate ceiling from the context window rather than the remainder of it: DeepSeek V4 Flash 0731 allows 384K output inside a 1,048K window, while GLM 4.7, Nemotron Ultra and GPT OSS 120B cap output at their full context. The Inkling models are the outlier at 32K. | 128,000 tokens on gpt-6-astra. |
| Prompt caching | Supported | Supported |
Where they differ.
Pricing model
- Baseten
- No platform fee: per-token Model APIs for open models, and dedicated deployments billed per minute of compute with volume discounts. The Pro tier buys priority access to high-demand GPUs rather than a lower rate.
- OpenAI
- Per million tokens, with a second rate above the short-context threshold — long-context input and output cost roughly double. Batch, Flex, Fast and standard tiers are priced separately, and regional processing adds a 10% uplift on models released from March 2026.
Sources (2) →Sources ↓
- Pricing — Baseten ↗
“$0 per month, pay as you go [...] Only pay for the compute you use, down to the minute. Volume discounts available [...] Pro Unlimited autoscaling and priority compute access [...] Priority access to high-demand GPUs”
Read 2026-09-06 · official pricing
- Pricing — OpenAI API docs ↗
“Prices per 1M tokens. [...] Regional processing (data residency) endpoints are charged a 10% uplift for models released on or after March 5, 2026 [...] Priority processing was renamed Fast mode on July 30, 2026.”
Read 2026-09-06 · official pricing
Input price, top model
- Baseten
- $1.40 per million input tokens for GLM-5.3, with cached input at $0.14 and output at $4.40. GLM-5.2 Fast, a speed variant, is $2.10.
- OpenAI
- $10 per million input tokens for gpt-6-astra at short context, rising to $20 above the short-context threshold. gpt-5.6-sol is $4 and gpt-5.6-terra $2.
Sources (2) →Sources ↓
- Pricing — Baseten ↗
“GLM-5.3 GLM-5.3 $1.40 $1.40 $0.14 $0.14 $4.40 [...] GLM-5.2 Fast GLM-5.2 Fast $2.10 $2.10 $0.21”
Read 2026-09-06 · official pricing
- Pricing — OpenAI API docs ↗
“| gpt-6-astra | $10.00 | $1.00 | $12.50 | $50.00 | $20.00 | $2.00 | $25.00 | $75.00 | [...] | gpt-5.6-sol | $4.00 [...] | gpt-5.6-terra | $2.00”
Read 2026-09-06 · official pricing
Output price, top model
- Baseten
- $4.40 per million output tokens for GLM-5.3.
- OpenAI
- $50 per million output tokens for gpt-6-astra at short context, $75 at long context.
Sources (2) →Sources ↓
- Pricing — Baseten ↗
“GLM-5.3 GLM-5.3 $1.40 $1.40 $0.14 $0.14 $4.40”
Read 2026-09-06 · official pricing
- Pricing — OpenAI API docs ↗
“| gpt-6-astra | $10.00 | $1.00 | $12.50 | $50.00 | $20.00 | $2.00 | $25.00 | $75.00 |”
Read 2026-09-06 · official pricing
Input price, cheapest model
- Baseten
- $0.10 per million input tokens for GPT OSS 120B, with output at $0.50. GLM-5.3-Flash is $0.15 in and $0.50 out.
- OpenAI
- $0.20 per million input tokens for gpt-5.6-luna at short context, with output at $1.20.
Sources (2) →Sources ↓
- Pricing — Baseten ↗
“GPT OSS 120B GPT OSS 120B $0.10 $0.10 - - $0.50 [...] GLM-5.3-Flash GLM-5.3-Flash $0.15 $0.15 $0.03 $0.03 $0.50”
Read 2026-09-06 · official pricing
- Pricing — OpenAI API docs ↗
“| gpt-5.6-luna | $0.20 | $0.02 | $0.25 | $1.20 | $0.40 | $0.04 | $0.50 | $1.80 |”
Read 2026-09-06 · official pricing
Context window
1,048K tokens on the DeepSeek V4 line and the GLM 5.2/5.3 family, the widest it serves; 262K on the Kimi K2 models, 200K on GLM 4.7 and 128K on GPT OSS 120B. Baseten's table publishes these in thousands, so the magnitude is 1,048,000 rather than the 1,048,576 a power-of-two reading would give — the vendor's own figure, not a conversion of it.
1,050,000 tokens on gpt-6-astra, of which at most 922,000 may be input.
Sources (2) →Sources ↓
- Model APIs overview — Baseten Docs ↗
“SupportedModelsTable [...] model: "DeepSeek V4 Pro", context: 1048, maxOutput: 262 [...] model: "GLM 5.3", context: 1048, maxOutput: 262 [...] model: "GLM 4.7", context: 200, maxOutput: 200 [...] model: "OpenAI GPT 120B", context: 128, maxOutput: 128”
Read 2026-09-08 · official docs
- gpt-6-astra — OpenAI API docs ↗
“- 1,050,000 context window - Maximum input tokens: 922,000”
Read 2026-09-06 · official docs
Max output tokens
262K tokens on most models, and it is a separate ceiling from the context window rather than the remainder of it: DeepSeek V4 Flash 0731 allows 384K output inside a 1,048K window, while GLM 4.7, Nemotron Ultra and GPT OSS 120B cap output at their full context. The Inkling models are the outlier at 32K.
128,000 tokens on gpt-6-astra.
Sources (2) →Sources ↓
- Model APIs overview — Baseten Docs ↗
“SupportedModelsTable [...] model: "DeepSeek V4 Pro", context: 1048, maxOutput: 262 [...] model: "GLM 5.3", context: 1048, maxOutput: 262 [...] model: "GLM 4.7", context: 200, maxOutput: 200 [...] model: "OpenAI GPT 120B", context: 128, maxOutput: 128”
Read 2026-09-08 · official docs
- gpt-6-astra — OpenAI API docs ↗
“- 128,000 max output tokens”
Read 2026-09-06 · official docs
When these numbers change, hear about it. Sources are re-checked monthly; a repricing goes out as a short note.
Documented by only one.
These criteria are published by one provider and not the other. An absence here means we have not found a source, not that the feature is missing.
Questions this comparison answers.
Should I choose Baseten or OpenAI?
Pick Baseten if Teams that want per-token APIs and dedicated GPUs from one vendor with no plan fee — minute-granularity billing means a model that runs for ten minutes costs ten minutes.
Pick OpenAI if Work that fits inside the short-context rate, where the cheapest tier is $0.20 per million input tokens and the batch tier halves everything above it.
