DeepSeek-V4-1-Flash-GLB via NextModel: 1M-token context; $0.3 / 1M tokens in / $1.20 / 1M tokens out per 1M tokens. Capabilities: streaming.
Best OpenAI-compatible LLM gateway options for multi-model routing
Shortlist models for an OpenAI-compatible LLM gateway: one base_url, multi-provider routing, cost visibility, and sane fallbacks.
A quoi sert cette selection ?: LLM gateway
An OpenAI-compatible LLM gateway means you keep the OpenAI SDK, point base_url at the gateway, and route across providers from there. You can compare unit cost, add cache or budgets, and fail over without rewriting app code. This ranking is for teams picking default models for that setup: start with solid general models, define a fallback, then estimate monthly spend. Migration steps live at /docs/openai-compatible. Cost math is at /tools/ai-api-cost-calculator. If you are comparing multi-model marketplaces specifically, use /best/openrouter-alternatives.
Base de source: NextModel catalog taxonomy, OpenAI-compatible gateway positioning, and provider public pricing when available. · Mis a jour 2026-08-05
Fit score
Candidats recommandes llm gateway
Commencez par cette selection, puis testez de vrais prompts et comparez le cout mensuel avant le routage de production.
Doubao-Seed-2.1-lite via NextModel: 1M-token context; $0.12 / 1M tokens in / $0.4 / 1M tokens out per 1M tokens. Capabilities: streaming.
Whisper Large V3 Turbo via NextModel: context unpublished; $0 / 1M tokens in / $0 / 1M tokens out per 1M tokens. Capabilities: streaming.
Gemini 4 Argon via NextModel: 1M-token context; $2 / 1M tokens in / $10 / 1M tokens out per 1M tokens. Capabilities: streaming, tool, json.
Tableau comparatif
Comparez cette selection par prix, fournisseur, contexte, capacites et source.
Utilisez cette vue pour reduire une shortlist de production, construire une politique de repli ou comparer l'economie des modeles.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek-V4-1-Flash-GLBdeepseek/deepseek-v4-1-flash-glb | DeepSeek | $0.3 / 1M tokens | $1.20 / 1M tokens | 1M | Streaming | Chinese Q&A, general chat | 1557-3097ms | Catalog | Platform curated |
| Doubao-Seed-2.1-litedoubao-seed-2-1-lite | Volcengine | $0.12 / 1M tokens | $0.4 / 1M tokens | 1M | Streaming | Chinese Q&A, general chat | 2010-3295ms | Catalog | Platform curated |
| Whisper Large V3 Turboopenai/whisper-large-v3-turbo | OpenAI | $0 / 1M tokens | $0 / 1M tokens | — | Streaming | General chat via OpenAI, API workloads | 0-0ms | Catalog | Platform curated |
| Gemini 4 Argongoogle/gemini-4-argon | $2 / 1M tokens | $10 / 1M tokens | 1M | StreamingTool callingJSON modeVision | image understanding, multimodal chat | 2974-10589ms | Catalog | Platform curated | |
| Claude Haiku 5.5anthropic/claude-haiku-5.5 | Anthropic | Starting at $0.1 / 1M tokens | $0.5 / 1M tokens | 1M | StreamingTool callingJSON modeVision | image understanding, multimodal chat | 1321-2017ms | Catalog | Platform curated |
| Doubao Seedance 2.5doubao/doubao-seedance-2-5-260628 | Doubao | $0.225 / s | — | — | StreamingVision | image understanding, multimodal chat | 0-0ms | Catalog | Platform curated |
| Dreamina-Seedance 2.0 Fastdreamina/dreamina-seedance-2-0-fast-260128 | Dreamina | $0.122 / s | — | — | StreamingVision | image understanding, multimodal chat | 0-0ms | Catalog | Platform curated |
| Dreamina Seedance 2.5dreamina/dreamina-seedance-2-5-260628 | Dreamina | $0.234 / s | — | — | StreamingVision | image understanding, multimodal chat | 0-0ms | Catalog | Platform curated |
FAQ
LLM gateway FAQ
What is an OpenAI-compatible LLM gateway?
A hosted API that speaks the OpenAI request shape (chat completions, models, keys) and forwards to one or more providers behind a single base URL.
Why use a gateway instead of calling each provider directly?
One integration surface, easier fallbacks, and one place for usage, budgets, and receipts before traffic gets loud.
How do I switch an existing OpenAI app to a gateway?
Change base_url and the API key in most cases. Then verify streaming, tools, JSON mode, and vision against the model IDs you will actually use.
How should teams control cost on a multi-model gateway?
Send cheap work to cheap models, keep stronger models for hard cases, cache only when it is safe, and set project budgets. Estimate monthly cost before you scale.
Classements