DeepInfra vs Groq: costs, performance and limits
DeepInfra costs $0.00054 per GPT-OSS 120B request example, 3.9× less than Groq’s $0.00210; Groq streams 8.4× faster at 473.4 vs 56.6 tokens/s.
| Dimension | Winner | Margin | Evidence |
|---|---|---|---|
| Estimated request cost | DeepInfra | $0.00156 | $0.00054 / $0.002102345 |
| Output speed (tokens/s) | Groq | 8.4× | 56.6 / 473.4 tokens/s1 |
| Endpoint Accuracy Index v1.0 | DeepInfra | 11 pp | 97% / 86%1 |
Performance
Prices and request cost
| Provider | Input / 1M tokens | Output / 1M tokens | Estimated request cost |
|---|---|---|---|
| DeepInfra23 | $0.037 | $0.17 | $0.00054 |
| Groq45 | $0.15 | $0.60 | $0.00210 |
Capabilities and serving conditions
| Dimension | DeepInfra | Groq |
|---|---|---|
| API and model ID | https://api.deepinfra.com/v1/openaiopenai/gpt-oss-120b23 | https://api.groq.com/openai/v1openai/gpt-oss-120b45 |
| Serving and capacity | Default account limit: 200 concurrent requests per model, counted as concurrency rather than per minute; increases are available on request.23 | Developer plan base limits for GPT-OSS 120B: 1K RPM, 500K RPD and 250K TPM; higher limits are available for select workloads. The free plan lists 30 RPM, 1K RPD, 8K TPM and 200K TPD.45 |
When each option fits
DeepInfra
- Choose the standard endpoint when low recurring request cost matters more than draining each generated response quickly.23
- Its 97% endpoint-accuracy reference is above Groq’s 86%, so the slower output is not accompanied by a lower accuracy reference here.1
- DeepInfra has deprecated the Turbo listing for this model, so the standard endpoint is the one to select and price.23
Groq
- Prefer Groq for output-heavy interactive responses: the matched AA reference is 473.4 tokens/s rather than DeepInfra’s 56.6.1
- The fixed-token example is $0.00210 rather than $0.00054, so this speed choice increases the request budget.2345
- Size production traffic against the Developer plan’s base limits of 1K RPM and 250K TPM for this model, not the free plan’s 30 RPM and 8K TPM.45
Methodology and sources
The saved AA provider snapshot compares GPT-OSS 120B at high reasoning effort with 10,000 input tokens. First-chunk latency excludes subsequent thinking and output time. Endpoint Accuracy Index is relative to a reference endpoint. Prices are official standard input/output rates, excluding cache discounts.
Costs are estimates at listed rates for uncached synchronous requests, not measured invoices; billed output includes reasoning. Tax, retries, discounts and negotiated capacity are excluded. Novita AI publishes this page using public sources, without a private workload benchmark.
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