MODEL PRICING
Every token, accounted for.
Input and output rates, per million tokens.
30% below OpenRouter’s same-model average.
Qwen 3.8 27B is ready to use in the dashboard. Contact us to set up any of the other models.
QWENReady in the dashboard
Qwen 3.8 27B
USD / 1 million tokens
OBIT30% less
- Input
- $0.2202
- Output
- $1.8667
Save $0.0944 per 1M input tokens and $0.80 per 1M output tokens.
Compare intelligence & price
Artificial Analysis Intelligence Index v4.3. Higher scores are better. Prices are USD per 1M tokens.
Qwen costs less per token than Sonnet 5, and more than GPT-5.6 Luna.
Nearby scores do not imply identical performance. Sources & methodology ↓
Start generating ↗
OPENAISetup by request
GPT-OSS 20B
USD / 1 million tokens
OBIT30% less
- Input
- $0.0293
- Output
- $0.1152
Save $0.0125 per 1M input tokens and $0.0494 per 1M output tokens.
Compare intelligence & price
Artificial Analysis Intelligence Index v4.3. Higher scores are better. Prices are USD per 1M tokens.
Models with nearby index scores| Model / effort | Index | Input | Output |
| GPT-OSS 20Bhigh · on Obit | 9 | $0.0293 | $0.1152 |
| GPT-4.1 mininon-reasoning | 10 est. | $0.40 | $1.60 |
Nearby scores do not imply identical performance. “est.” marks an Artificial Analysis estimate. Sources & methodology ↓
Contact us to set up ↗
QWENSetup by request
Qwen 3.6 35B-A3B
USD / 1 million tokens
OBIT30% less
- Input
- $0.0961
- Output
- $0.7143
Save $0.0412 per 1M input tokens and $0.3061 per 1M output tokens.
Compare intelligence & price
Artificial Analysis Intelligence Index v4.3. Higher scores are better. Prices are USD per 1M tokens.
Models with nearby index scores| Model / effort | Index | Input | Output |
| Qwen 3.6 35B-A3Breasoning · on Obit | 19 | $0.0961 | $0.7143 |
| GPT-5 minihigh | 17 | $0.25 | $2.00 |
Nearby scores do not imply identical performance. Sources & methodology ↓
Contact us to set up ↗
GOOGLESetup by request
Gemma 4 31B
USD / 1 million tokens
OBIT30% less
- Input
- $0.1925
- Output
- $0.4282
Save $0.0825 per 1M input tokens and $0.1835 per 1M output tokens.
Compare intelligence & price
Artificial Analysis Intelligence Index v4.3. Higher scores are better. Prices are USD per 1M tokens.
Models with nearby index scores| Model / effort | Index | Input | Output |
| Gemma 4 31Breasoning · on Obit | 15 | $0.1925 | $0.4282 |
| Claude Haiku 4.5non-reasoning | 15 est. | $1.00 | $5.00 |
Nearby scores do not imply identical performance. “est.” marks an Artificial Analysis estimate. Sources & methodology ↓
Contact us to set up ↗
GOOGLESetup by request
Gemma 4 26B-A4B
USD / 1 million tokens
OBIT30% less
- Input
- $0.0727
- Output
- $0.2565
Save $0.0311 per 1M input tokens and $0.1099 per 1M output tokens.
Compare intelligence & price
Artificial Analysis Intelligence Index v4.3. Higher scores are better. Prices are USD per 1M tokens.
Models with nearby index scores| Model / effort | Index | Input | Output |
| Gemma 4 26B-A4Breasoning · on Obit | 17 est. | $0.0727 | $0.2565 |
| GPT-5 minihigh | 17 | $0.25 | $2.00 |
Nearby scores do not imply identical performance. “est.” marks an Artificial Analysis estimate. Sources & methodology ↓
Contact us to set up ↗
Pricing sources & comparison methodology · September 13, 2026
Obit rates are 30% below the arithmetic mean of available paid providers on OpenRouter, captured September 13, 2026. We average each provider’s available endpoints first, then weight providers equally. Free and unavailable endpoints are excluded. Input and output are calculated separately; displayed rates are rounded to four decimal places.
These are standard uncached text-token rates in USD per million tokens. Caching, batch discounts, other modalities, and custom cloud deployments are excluded. Total workload cost depends on token usage, including reasoning tokens.
Comparisons use the same Artificial Analysis Intelligence Index v4.3, with the evaluated reasoning effort shown for each model. We selected GPT/Claude models within four rounded index points; scores describe the evaluated models, not a benchmark of Obit’s deployments. Some reference models are older generations.