Approved models
19
Records published from this collection
Provider information
inference host
Review approach
Verify each model’s source, terms, capabilities, and current availability
Deepinfra via Requesty models in this directory cover text-to-text ai models. Start with the task you need to solve, then open a model profile to check its recorded inputs, outputs, licensing and deployment options.
Use inputs that resemble deployment traffic, including difficult and out-of-domain cases. Compare output correctness, the response format, latency and memory requirements with a simple baseline under the same conditions. For hosted models, confirm the model ID, current API access, data controls and applicable pricing tier before routing production traffic.
Check whether two entries describe distinct models or different hosted routes for the same model. Keep the checkpoint, host, test settings and evaluation date together. Missing prices and limits mean the directory has no recorded figure, not that use is free or unlimited.
Browse the AI model directory or compare two models.
Review each record individually; collection membership does not imply a recommendation or guarantee of availability.
| DeepSeek R1 Distill Llama 70B Deepinfra via Requesty | 16.4 | 64K | $0.23 | $0.69 | — |
| DeepSeek V3 Deepinfra via Requesty | 34.8 | 128K | $0.85 | $0.90 | — |
| DeepSeek V3.1 Deepinfra via Requesty | 32.9 | 163.84K | $0.30 | $1.00 | — |
| Llama 3.2 90B Vision Instruct Deepinfra via Requesty | 23.4 | 131.07K | $0.35 | $0.40 | — |
| Llama 3.3 70B Instruct Turbo Deepinfra via Requesty | 31.8 | 131.07K | $0.12 | $0.30 | — |
| Meta Llama 3.1 405B Instruct Deepinfra via Requesty | 21.8 | 130.82K | $0.80 | $0.80 | — |
| Meta Llama 3.1 70B Instruct Deepinfra via Requesty | 31.8 | 130.82K | $0.23 | $0.40 | — |
| Meta Llama 3.1 8B Instruct Turbo Deepinfra via Requesty | 31.8 | 131.07K | $0.02 | $0.05 | — |
| Phi 4 Deepinfra via Requesty | 11.8 | 16.38K | $0.07 | $0.14 | — |
| Qwen2.5 72B Instruct Deepinfra via Requesty | 31.8 | 131.07K | $0.23 | $0.40 | — |
| Qwen2.5 Coder 32B Instruct Deepinfra via Requesty | 23.4 | 16.38K | $0.07 | $0.16 | — |
| Qwen3 235B A22B Instruct 2507 Deepinfra via Requesty | 35.2 | 262.14K | $0.071 | $0.10 | — |
| Qwen3 235B A22B Thinking 2507 Deepinfra via Requesty | 50.2 | 262.14K | $0.23 | $2.30 | — |
| Qwen3 Coder 480B A35B Instruct Turbo Deepinfra via Requesty | 35.2 | 262.14K | $0.30 | $1.00 | — |
| Qwen3.5 2B Deepinfra via Requesty | 55.2 | 262.14K | $0.02 | $0.10 | — |
| Seed 1.8 Deepinfra via Requesty | 55.1 | 256K | $0.25 | $2.00 | — |
| Seed 2.0 Code Deepinfra via Requesty | 50.1 | 256K | $0.50 | $3.00 | — |
| Seed 2.0 Mini Deepinfra via Requesty | 55.1 | 256K | $0.10 | $0.40 | — |
| Seed 2.0 Pro Deepinfra via Requesty | 55.1 | 256K | $0.50 | $3.00 | — |
1–19 of 19 models · select a column to sort
About this order: Recommended shows our editorial shortlist first, followed by recent releases. The spec score is a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.