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.
這份候選名單適合什麼用途?: LLM API providers
Picking an LLM API provider is a lock-in decision that outlives any single model. What actually differs between providers is the mix: which model families are covered, how input and output tokens are priced, whether you get budgets and BYOK, and how much of your app code has to change if you move. Run the comparison the way production teams do: shortlist models that fit the workload, check unit economics on /pricing, run the numbers on /tools/llm-cost-calculator, and keep the exit cheap by staying on an OpenAI-compatible endpoint. For narrower cuts, see /best/cheap-llm-api for price-first picks, /best/openrouter-alternatives for marketplace-style comparisons, and /best/openai-compatible-gateway for gateway setups.
來源依據: NextModel curated catalog, provider public pricing, and OpenRouter metadata when available. · 更新日期 2026-09-04
如何使用这份名单
如何使用这份名单 (LLM API providers)
- 对照任务选模型. 先看「LLM API providers」短名单是否覆盖你的真实任务,不要只比标价。
- 用同一批提示词试跑. 挑 2–3 个候选,用业务提示词对比质量与输出长度。
- 估算月费. 用价格页或成本计算器,按预计 token 量估算月度花费。
- 定兜底与预算. 定主模型、兜底模型,设项目预算后再接生产流量。
匹配分
推薦候選 llm api providers
先從候選名單開始,再以真實提示詞測試,並在接入正式環境路由前比較月度成本。
Whisper Large V3 Turbo via NextModel: context unpublished; $0 / 1M tokens in / $0 / 1M tokens out per 1M tokens.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.
Claude Haiku 5.5 via NextModel: 1M-token context; Starting at $0.1 / 1M tokens in / $0.5 / 1M tokens out per 1M tokens. Capabilities: streaming, tool, json.
比較表
按價格、提供者、上下文、能力與來源比較這份候選名單。
當你在縮小正式環境候選名單、建立備援策略或比較模型經濟性時,可使用此視圖。
| 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 |
| 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 |
| Gemini 3 Pro Image (Nano Banana Pro) gemini/gemini-3-pro-image | Gemini | $0.314 / image | — | — | StreamingVision | image understanding, multimodal chat | 0-0ms | Catalog | Platform curated |
常見問題
LLM API providers 常見問題
What should I compare when choosing an LLM API provider?
Model coverage for your workload, input and output token prices, context limits, budget and BYOK controls, and how observable each request is after the fact. A long model list without spend controls often costs more than a shorter curated one.
Is it better to call providers directly or through one gateway?
Direct calls mean one contract per provider and N integrations to maintain. A gateway keeps one OpenAI-compatible base URL, centralizes fallbacks and budgets, and makes switching providers a config change instead of a rewrite.
How do I compare LLM API prices fairly?
Compare input and output rates per million tokens for the models you will actually use, then estimate blended monthly cost with your real traffic mix. Sticker price on one model says little about your bill.
Can I switch LLM API providers without rewriting my app?
If both sides speak the OpenAI API shape, migration is usually a base_url and key change. Verify streaming, tool calls, JSON mode, and vision on the exact model IDs you plan to use before cutover.