OpenThinker 7B is Openthinker's language model with a 33K context window and up to 8K output tokens, starting at $0.08 / 1M input and $0.15 / 1M output. A 7B open-source reasoning-focused LLM designed to improve chain-of-thought and deliberate thinking capabilities.
| Specifications | |
|---|---|
openthinker-7b | |
| Language | |
| Active | |
| Openthinker | |
| 33K tokens | |
| 8K tokens | |
| Text | |
| Text | |
| default | |
| 7B | |
Capabilities
Input1/5
Text✓
Image·
Audio·
Video·
PDF·
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities3/13
Reasoning✓
Adaptive Reasoning·
Function Calling✓
Parallel Function Calling·
Structured Outputs✓
Native JSON Schema·
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching·
Assistant Prefill·
Pricing by Provider
US Dollar ($)
Per 1M tokens
| Provider | Standard | |
|---|---|---|
| Input $ / 1M | Output $ / 1M | |
| $0.08 | $0.15 | |
Cost Calculator
US Dollar ($)
Preset:
Cheapest Instances to Run It
Cloud GPU instances that can host OpenThinker 7B, ranked by cheapest on-demand price. The model needs about 17 GB of GPU memory at FP16 precision (estimated from its parameter count), so treat the fit as guidance rather than a guarantee.
All clouds
FP16 (full precision)
US Dollar ($)
Instance | Cloud | GPU | VRAM | Price | Cheapest region | |
|---|---|---|---|---|---|---|
| g2-standard-4 | nvidia-l4 | 24 GB | $0.705/hr | us-east4 | ||
| g6.xlarge | L4 | 22 GB | $0.805/hr | us-east-1 | ||
| g2-standard-8 | nvidia-l4 | 24 GB | $0.851/hr | us-east4 | ||