Every model listed here is reachable through the same api.inferencedirect.com endpoint, with the same OpenAI-compatible request shape. No per-vendor SDKs, no separate API keys to manage — just change the model field.
The Claude family — frontier reasoning, coding, and long-context models.
| Model | Context | Input | Output |
|---|---|---|---|
| Claude Opus 4 | 200K | $15.00 | $75.00 |
| Claude Fable 5 | 200K | $11.00 | $55.00 |
| anthropic/claude-fable-5 | 1000K | $10.00 | $50.00 |
| Claude Opus 4.5 | 200K | $5.50 | $27.50 |
| Claude Opus 4.6 | 200K | $5.50 | $27.50 |
| Claude Opus 4.7 | 200K | $5.50 | $27.50 |
| Claude Opus 4.8 | 200K | $5.50 | $27.50 |
| Claude Opus 4.5 | 200K | $5.00 | $25.00 |
| anthropic/claude-opus-4-7 | 1000K | $5.00 | $25.00 |
| anthropic/claude-opus-4-8 | 1000K | $5.00 | $25.00 |
| Claude Sonnet 4.5 | 200K | $3.30 | $16.50 |
| Claude Sonnet 4.6 | 200K | $3.30 | $16.50 |
| Claude 3 Sonnet | 200K | $3.00 | $15.00 |
| Claude Sonnet 4 | 200K | $3.00 | $15.00 |
| Claude Sonnet 4 | 200K | $3.00 | $15.00 |
| Claude Sonnet 4 (OpenRouter) | 200K | $3.00 | $15.00 |
| Claude Sonnet 4.5 | 200K | $3.00 | $15.00 |
| anthropic/claude-sonnet-4-6 | 1000K | $3.00 | $15.00 |
| Claude Sonnet 5 | 200K | $2.20 | $11.00 |
| anthropic/claude-sonnet-5 | 1000K | $2.00 | $10.00 |
| Claude Haiku 4.5 | 200K | $1.10 | $5.50 |
| Claude Haiku 4.5 | 200K | $1.00 | $5.00 |
| anthropic/claude-haiku-4-5 | 200K | $1.00 | $5.00 |
| Claude 3.5 Haiku | 200K | $0.80 | $4.00 |
| Claude 3 Haiku | 200K | $0.25 | $1.25 |
| Claude 3 Haiku | 200K | $0.25 | $1.25 |
Amazon's own Nova and Titan models, served natively on Bedrock.
| Model | Context | Input | Output |
|---|---|---|---|
| Nova Pro | 300K | $1.05 | $4.20 |
| Nova 2.0 Lite | 300K | $0.43 | $3.60 |
| Nova Lite | 300K | $0.078 | $0.31 |
| Nova Micro | 128K | $0.046 | $0.18 |
Open-weight reasoning and general models with standout cost-efficiency — strong at code, math, and long-form reasoning.
| Model | Context | Input | Output |
|---|---|---|---|
| deepseek-ai/DeepSeek-V4-Pro | 1049K | $1.30 | $2.60 |
| deepseek-ai/DeepSeek-R1-0528 | 164K | $0.50 | $2.15 |
| deepseek-ai/DeepSeek-V3 | 164K | $0.32 | $0.89 |
| DeepSeek Chat (OpenRouter) | 64K | $0.28 | $0.88 |
| deepseek-ai/DeepSeek-V3.1-Terminus | 164K | $0.27 | $0.95 |
| deepseek-ai/DeepSeek-V3.2 | 164K | $0.26 | $0.38 |
| deepseek-ai/DeepSeek-V3.1 | 164K | $0.25 | $0.95 |
| deepseek-ai/DeepSeek-V3-0324 | 164K | $0.24 | $0.90 |
| deepseek-ai/DeepSeek-V4-Flash | 1049K | $0.09 | $0.18 |
The Qwen family — dense and MoE variants covering chat, coding, and vision.
| Model | Context | Input | Output |
|---|---|---|---|
| Qwen/Qwen3.7-Max | 256K | $2.50 | $7.50 |
| Qwen/Qwen3-Max | 256K | $1.20 | $6.00 |
| Qwen/Qwen3-Max-Thinking | 256K | $1.20 | $6.00 |
| Qwen/Qwen3.5-397B-A17B | 262K | $0.45 | $3.00 |
| Qwen/Qwen2.5-72B-Instruct | 33K | $0.36 | $0.40 |
| Qwen/Qwen3.6-27B | 262K | $0.32 | $3.20 |
| Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo | 262K | $0.30 | $1.00 |
| Qwen/Qwen3.5-122B-A10B | 262K | $0.29 | $2.40 |
| Qwen/Qwen3.5-27B | 262K | $0.26 | $2.60 |
| Qwen/Qwen3-235B-A22B-Thinking-2507 | 262K | $0.23 | $2.30 |
| Qwen/Qwen3-VL-235B-A22B-Instruct | 262K | $0.20 | $0.88 |
| Qwen/Qwen3-VL-30B-A3B-Instruct | 262K | $0.15 | $0.60 |
| Qwen/Qwen3.6-35B-A3B | 262K | $0.15 | $0.95 |
| Qwen/Qwen3.5-35B-A3B | 262K | $0.14 | $1.00 |
| Qwen/Qwen3-14B | 41K | $0.12 | $0.24 |
| Qwen/Qwen3-30B-A3B | 41K | $0.12 | $0.50 |
| Qwen/Qwen3.5-9B | 262K | $0.10 | $0.15 |
| Qwen/Qwen3-235B-A22B-Instruct-2507 | 262K | $0.09 | $0.55 |
| Qwen/Qwen3-Next-80B-A3B-Instruct | 262K | $0.09 | $1.10 |
| Qwen/Qwen3-32B | 41K | $0.08 | $0.28 |
| Qwen/Qwen3-Embedding-4B | 33K | $0.02 | $0.00 |
| Qwen/Qwen3-Embedding-0.6B | 33K | $0.01 | $0.00 |
| Qwen/Qwen3-Embedding-8B | 33K | $0.01 | $0.00 |
Meta's open-weight Llama line — dependable general-purpose instruct models with a deep tooling ecosystem.
| Model | Context | Input | Output |
|---|---|---|---|
| NousResearch/Hermes-3-Llama-3.1-405B | 131K | $1.00 | $1.00 |
| NousResearch/Hermes-3-Llama-3.1-70B | 131K | $0.70 | $0.70 |
| meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo | 131K | $0.40 | $0.40 |
| meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 | 1049K | $0.20 | $0.80 |
| Llama 3.2 3B | 128K | $0.19 | $0.19 |
| meta-llama/Llama-Guard-4-12B | 164K | $0.18 | $0.18 |
| Llama 3.2 1B | 128K | $0.13 | $0.13 |
| Llama 3.3 70B (OpenRouter) | 128K | $0.12 | $0.30 |
| meta-llama/Llama-3.3-70B-Instruct-Turbo | 131K | $0.10 | $0.32 |
| meta-llama/Llama-4-Scout-17B-16E-Instruct | 328K | $0.10 | $0.30 |
| meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo | 131K | $0.02 | $0.03 |
OpenAI's gpt-oss open-weight releases — Apache-licensed reasoning models in efficient MoE sizes.
| Model | Context | Input | Output |
|---|---|---|---|
| GPT-4o (OpenRouter) | 128K | $2.50 | $10.00 |
| openai/gpt-oss-120b-Turbo | 131K | $0.15 | $0.60 |
| openai/gpt-oss-120b | 131K | $0.037 | $0.17 |
| openai/gpt-oss-20b | 131K | $0.03 | $0.14 |
Efficient European open-weight models — small, fast instruct models that punch above their size.
| Model | Context | Input | Output |
|---|---|---|---|
| Pixtral Large 25.02 | 128K | $2.00 | $6.00 |
| mistralai/Mistral-Small-3.2-24B-Instruct-2506 | 128K | $0.075 | $0.20 |
| mistralai/Mistral-Small-24B-Instruct-2501 | 33K | $0.05 | $0.08 |
| mistralai/Mistral-Nemo-Instruct-2407 | 131K | $0.019 | $0.03 |
Nemotron models — open reasoning lines tuned for enterprise serving.
| Model | Context | Input | Output |
|---|---|---|---|
| nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B | 262K | $0.50 | $2.20 |
| nvidia/Nemotron-Content-Safety-3.5 | 131K | $0.20 | $0.20 |
| nvidia/NVIDIA-Nemotron-3-Super-120B-A12B | 262K | $0.085 | $0.40 |
| nvidia/Nemotron-3-Nano-30B-A3B | 262K | $0.05 | $0.20 |
| nvidia/llama-nemotron-embed-vl-1b-v2 | 10K | $0.01 | $0.00 |
MoE generalist models balancing strong agentic performance with aggressive pricing.
| Model | Context | Input | Output |
|---|---|---|---|
| MiniMaxAI/MiniMax-M2.7-Turbo | 197K | $0.38 | $1.70 |
| MiniMaxAI/MiniMax-M3 | 524K | $0.30 | $1.20 |
| MiniMaxAI/MiniMax-M2.7 | 197K | $0.25 | $1.00 |
The GLM family — frontier-level coding and agentic performance with fast, inexpensive Flash tiers.
| Model | Context | Input | Output |
|---|---|---|---|
| zai-org/GLM-5.1 | 203K | $1.05 | $3.50 |
| zai-org/GLM-5.2 | 1049K | $0.93 | $3.00 |
| zai-org/GLM-5 | 203K | $0.60 | $2.08 |
| zai-org/GLM-4.6 | 203K | $0.50 | $2.00 |
| zai-org/GLM-4.7 | 203K | $0.40 | $1.75 |
| zai-org/GLM-4.7-Flash | 203K | $0.06 | $0.40 |
Gemma open models — compact, efficient instruct models.
| Model | Context | Input | Output |
|---|---|---|---|
| google/gemini-3.1-pro | 1000K | $2.00 | $12.00 |
| google/gemini-3.5-flash | 1000K | $1.50 | $9.00 |
| Gemini 2.5 Pro (OpenRouter) | 1000K | $1.25 | $10.00 |
| google/gemini-2.5-flash | 1000K | $0.30 | $2.50 |
| google/gemini-3.1-flash-lite | 1000K | $0.25 | $1.50 |
| google/gemma-4-31B-it | 262K | $0.13 | $0.38 |
| google/gemma-4-31B-it-turbo | 262K | $0.12 | $0.37 |
| google/gemma-3-27b-it | 131K | $0.08 | $0.16 |
| google/gemini-1.5-flash | 1000K | $0.075 | $0.30 |
| google/gemma-4-26B-A4B-it | 262K | $0.07 | $0.34 |
| google/gemma-3-12b-it | 131K | $0.05 | $0.15 |
| google/gemma-3-4b-it | 131K | $0.05 | $0.10 |
| google/gemini-1.5-flash-8b | 1000K | $0.037 | $0.15 |
| google/gemma-4-E4B-it | 131K | $0.02 | $0.10 |
| google/embeddinggemma-300m | 2K | $0.002 | $0.00 |
Available through the unified endpoint.
| Model | Context | Input | Output |
|---|---|---|---|
| GPT-4o | 128K | $2.50 | $10.00 |
| GPT-4o (Azure) | 128K | $2.50 | $10.00 |
| GPT-4.1 | 1000K | $2.00 | $8.00 |
| GPT-4.1 (Azure) | 1000K | $2.00 | $8.00 |
| o3 | 200K | $2.00 | $8.00 |
| o3 (Azure) | 200K | $2.00 | $8.00 |
| Gemini 2.5 Pro | 1000K | $1.25 | $10.00 |
| o4-mini | 200K | $1.10 | $4.40 |
| o4-mini (Azure) | 200K | $1.10 | $4.40 |
| XiaomiMiMo/MiMo-V2.5-Pro | 1049K | $1.00 | $3.00 |
| thinkingmachines/Inkling | 131K | $1.00 | $4.05 |
| Sao10K/L3.1-70B-Euryale-v2.2 | 131K | $0.85 | $0.85 |
| moonshotai/Kimi-K2.6 | 262K | $0.75 | $3.50 |
| moonshotai/Kimi-K2.7-Code | 262K | $0.74 | $3.50 |
| ByteDance/Seed-2.0-code | 256K | $0.50 | $3.00 |
| ByteDance/Seed-2.0-pro | 256K | $0.50 | $3.00 |
| moonshotai/Kimi-K2.5 | 262K | $0.45 | $2.25 |
| GPT-4.1 mini | 1000K | $0.40 | $1.60 |
| Gryphe/MythoMax-L2-13b | 4K | $0.40 | $0.40 |
| XiaomiMiMo/MiMo-V2.5 | 262K | $0.40 | $2.00 |
| Gemini 2.5 Flash | 1000K | $0.30 | $2.50 |
| ByteDance/Seed-1.8 | 256K | $0.25 | $2.00 |
| stepfun-ai/Step-3.7-Flash | 262K | $0.20 | $1.15 |
| GPT-4o mini | 128K | $0.15 | $0.60 |
| GPT-4o mini (Azure) | 128K | $0.15 | $0.60 |
| tencent/Hy3 | 262K | $0.14 | $0.58 |
| ByteDance/Seed-2.0-mini | 256K | $0.10 | $0.40 |
| GPT-4.1 nano | 1000K | $0.10 | $0.40 |
| Gemini 2.0 Flash | 1000K | $0.10 | $0.40 |
| Gemini 2.5 Flash-Lite | 1000K | $0.10 | $0.40 |
| microsoft/phi-4 | 16K | $0.07 | $0.14 |
| Sao10K/L3-8B-Lunaris-v1-Turbo | 8K | $0.04 | $0.05 |
| BAAI/bge-en-icl | 8K | $0.01 | $0.00 |
| BAAI/bge-large-en-v1.5 | 1K | $0.01 | $0.00 |
| BAAI/bge-m3 | 8K | $0.01 | $0.00 |
| BAAI/bge-m3-multi | 8K | $0.01 | $0.00 |
| intfloat/e5-large-v2 | 1K | $0.01 | $0.00 |
| intfloat/multilingual-e5-large | 1K | $0.01 | $0.00 |
| intfloat/multilingual-e5-large-instruct | 1K | $0.01 | $0.00 |
| thenlper/gte-large | 1K | $0.01 | $0.00 |
| BAAI/bge-base-en-v1.5 | 1K | $0.005 | $0.00 |
| intfloat/e5-base-v2 | 1K | $0.005 | $0.00 |
| sentence-transformers/all-MiniLM-L12-v2 | 1K | $0.005 | $0.00 |
| sentence-transformers/all-MiniLM-L6-v2 | 1K | $0.005 | $0.00 |
| sentence-transformers/all-mpnet-base-v2 | 1K | $0.005 | $0.00 |
| sentence-transformers/clip-ViT-B-32 | — | $0.005 | $0.00 |
| sentence-transformers/clip-ViT-B-32-multilingual-v1 | 1K | $0.005 | $0.00 |
| sentence-transformers/multi-qa-mpnet-base-dot-v1 | 1K | $0.005 | $0.00 |
| sentence-transformers/paraphrase-MiniLM-L6-v2 | 1K | $0.005 | $0.00 |
| shibing624/text2vec-base-chinese | 1K | $0.005 | $0.00 |
| thenlper/gte-base | 1K | $0.005 | $0.00 |
● Prices are per 1 million tokens, served via AWS Bedrock, at exact provider cost — no markup. Embedding, image, and audio models bill per provider unit and are not listed here.
Every model on this page is served on the platform's own account. If your team already has direct access to a provider — your own OpenAI, Anthropic, Azure OpenAI, Google, OpenRouter, or AWS account — you can route through it instead with Bring Your Own Key, with an optional per-key spend cap and automatic fall-back to the platform key.