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Model catalog
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...
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| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| sonar-small-onlineperplexity/sonar-small-online | Perplexity |
12K | — | $0.28 | — | ||
| swiss-ai/apertus-8b-instructpublicai/swiss-ai/apertus-8b-instruct | 8.192K | — | — | — | |||
| swiss-ai/apertus-70b-instructpublicai/swiss-ai/apertus-70b-instruct | 8.192K | — | — | — | |||
| aisingapore/Gemma-SEA-LION-v4-27B-ITpublicai/aisingapore/gemma-sea-lion-v4-27b-it | 8.192K | — | — | — | |||
| mistral.ministral-3-8b-instructbedrock_converse/mistral.ministral-3-8b-instruct | 128K | $0.15 | $0.15 | — | |||
| BSC-LT/ALIA-40b-instruct_Q8_0publicai/bsc-lt/alia-40b-instruct_q8_0 | 8.192K | — | — | — | |||
| allenai/Olmo-3-7B-Instructpublicai/allenai/olmo-3-7b-instruct | 32.768K | — | — | — | |||
| aisingapore/Qwen-SEA-LION-v4-32B-ITpublicai/aisingapore/qwen-sea-lion-v4-32b-it | 32.768K | — | — | — | |||
| allenai/Olmo-3-7B-Thinkpublicai/allenai/olmo-3-7b-think | 32.768K | — | — | — | |||
| allenai/Olmo-3-32B-Thinkpublicai/allenai/olmo-3-32b-think | 32.768K | — | — | — | |||
| qwen.qwen3-coder-480b-a35b-v1:0bedrock_converse/qwen.qwen3-coder-480b-a35b-v1:0 | 262K | $0.22 | $1.8 | — | |||
| qwen.qwen3-235b-a22b-2507-v1:0bedrock_converse/qwen.qwen3-235b-a22b-2507-v1:0 | 262.144K | $0.22 | $0.88 | — | |||
| mistral.ministral-3-3b-instructbedrock_converse/mistral.ministral-3-3b-instruct | 128K | $0.1 | $0.1 | — | |||
| qwen.qwen3-32b-v1:0bedrock_converse/qwen.qwen3-32b-v1:0 | 131.072K | $0.15 | $0.6 | — | |||
| qwen.qwen3-next-80b-a3bbedrock_converse/qwen.qwen3-next-80b-a3b | 128K | $0.15 | $1.2 | — | |||
| qwen.qwen3-vl-235b-a22bbedrock_converse/qwen.qwen3-vl-235b-a22b | 128K | $0.53 | $2.66 | — | |||
| qwen.qwen3-coder-nextbedrock_converse/qwen.qwen3-coder-next | 262.144K | $0.5 | $1.2 | — | |||
| meta/llama-3-70breplicate/meta/llama-3-70b | Replicate |
8.192K | $0.65 | $2.75 | — | ||
| meta/llama-3-70b-instructreplicate/meta/llama-3-70b-instruct | Replicate |
8.192K | $0.65 | $2.75 | — | ||
| deepseek-ai/deepseek-v3replicate/deepseek-ai/deepseek-v3 | Replicate |
65.536K | $1.45 | $1.45 | — | ||
| OpenAI: GPT-5.6 Luna (batch)openai/gpt-5.6-luna:batch | OpenAI |
1.05M | $0.1 | $0.6 | — | ||
| deepseek-ai/deepseek-r1replicate/deepseek-ai/deepseek-r1 | Replicate |
65.536K | $3.75 | $10 | — | ||
| MiniMax-M2.7sambanova/minimax-m2.7 | 196.608K | $0.6 | $2.4 | — | |||
| DeepSeek-R1sambanova/deepseek-r1 | 32.768K | $5 | $7 | — | |||
| DeepSeek-R1-Distill-Llama-70Bsambanova/deepseek-r1-distill-llama-70b | 131.072K | $0.7 | $1.4 | — | |||
| DeepSeek-V3-0324sambanova/deepseek-v3-0324 | 32.768K | $3 | $4.5 | — | |||
| Llama-4-Maverick-17B-128E-Instructsambanova/llama-4-maverick-17b-128e-instruct | 131.072K | $0.63 | $1.8 | — | |||
| gpt-oss-120bsambanova/gpt-oss-120b | 131.072K | $0.22 | $0.59 | — | |||
| gemini-3.8-flashgemini/gemini-3.8-flash | 1.04858M | $0.75 | $3.75 | — | |||
| Meta-Llama-3.1-405B-Instructsambanova/meta-llama-3.1-405b-instruct | 16.384K | $5 | $10 | — | |||
| Meta-Llama-3.1-8B-Instructsambanova/meta-llama-3.1-8b-instruct | 16.384K | $0.1 | $0.2 | — | |||
| Meta-Llama-3.2-1B-Instructsambanova/meta-llama-3.2-1b-instruct | 16.384K | $0.04 | $0.08 | — | |||
| Meta-Llama-3.3-70B-Instructsambanova/meta-llama-3.3-70b-instruct | 131.072K | $0.6 | $1.2 | — | |||
| Meta-Llama-Guard-3-8Bsambanova/meta-llama-guard-3-8b | 16.384K | $0.3 | $0.3 | — | |||
| QwQ-32Bsambanova/qwq-32b | 16.384K | $0.5 | $1 | — | |||
| Qwen3-32Bsambanova/qwen3-32b | 8.192K | $0.4 | $0.8 | — | |||
| DeepSeek-V3.1sambanova/deepseek-v3.1 | 131.072K | $3 | $4.5 | — | |||
| DeepSeek-V3.2sambanova/deepseek-v3.2 | 32.768K | $3 | $4.5 | — | |||
| gemma-4-31B-itsambanova/gemma-4-31b-it | 131.072K | $0.38 | $1.15 | — | |||
| claude-3-5-sonnetsnowflake/claude-3-5-sonnet | 200K | $3 | $15 | — | |||
| deepseek-r1snowflake/deepseek-r1 | 128K | $1.35 | $5.4 | — | |||
| jamba-1.5-largesnowflake/jamba-1.5-large | 256K | — | — | — | |||
| jamba-1.5-minisnowflake/jamba-1.5-mini | 256K | — | — | — | |||
| jamba-instructsnowflake/jamba-instruct | 256K | — | — | — | |||
| glm-5.2dashscope/glm-5.2 | 1.04858M | $1.4 | $4.4 | — | |||
| llama3.1-70bsnowflake/llama3.1-70b | 128K | $0.72 | $0.72 | — | |||
| llama3.1-8bsnowflake/llama3.1-8b | 128K | $0.24 | $0.24 | — | |||
| mistral-large2snowflake/mistral-large2 | 128K | $2 | $6 | — | |||
| mistral.ministral-3-14b-instructbedrock_converse/mistral.ministral-3-14b-instruct | 128K | $0.2 | $0.2 | — | |||
| mistral.magistral-small-2509bedrock_converse/mistral.magistral-small-2509 | 128K | $0.5 | $1.5 | — |