Model shortlist

Best LLM API providers compared for price, coverage, and control

Compare LLM API providers on model coverage, token prices, budget controls, and OpenAI-compatible migration before you commit traffic.

What is this shortlist for?: 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.

Source basis: NextModel curated catalog, provider public pricing, and OpenRouter metadata when available. · Updated 2026-09-04

How to use this shortlist

How to use this shortlist (LLM API providers)

  1. Match the shortlist to the job. Check whether the LLM API providers candidates fit your real workload, not only the posted rate.
  2. Run the same prompts. Test two or three candidates on production-like prompts and note quality and output length.
  3. Estimate monthly cost. Use the pricing page or cost calculator with expected token volume.
  4. Set fallback and budget. Pick a primary model, a fallback, and a project budget before production traffic.

Fit score

Recommended candidates llm api providers

Start with the shortlist, then test real prompts and compare monthly cost before production routing in Singapore.

DeepSeekCatalogHealthytypical

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.

$0.3 / 1M tokensInput$1.20 / 1M tokensOutput1MContext
Best forChinese Q&A, general chat
Streaming
Platform curatedCurated and maintained in the NextModel catalog
View details
OpenAICatalog

Whisper Large V3 Turbo via NextModel: context unpublished; $0 / 1M tokens in / $0 / 1M tokens out per 1M tokens. Capabilities: streaming.

$0 / 1M tokensInput—Output—Context
Best forGeneral chat via OpenAI, API workloads
Streaming
Platform curatedCurated and maintained in the NextModel catalog
View details
GoogleCatalogHealthytypical

‌Gemini 4 Argon via NextModel: 1M-token context; $2 / 1M tokens in / $10 / 1M tokens out per 1M tokens. Capabilities: streaming, tool, json.

$2 / 1M tokensInput$10 / 1M tokensOutput1MContext
Best forimage understanding, multimodal chat
StreamingTool callingJSON modeVisionLong context
Platform curatedCurated and maintained in the NextModel catalog
View details
AnthropicCatalogHealthyfast

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.

Starting at $0.1 / 1M tokensInput$0.5 / 1M tokensOutput1MContext
Best forimage understanding, multimodal chat
StreamingTool callingJSON modeVisionLong context
Platform curatedCurated and maintained in the NextModel catalog
View details

Comparison table

Compare the shortlist by price, provider, context, capability, and source.

Use this view when narrowing a production shortlist, building a fallback policy, or comparing model economics for Singapore-based teams.

ModelProviderInputOutputContextCapabilitiesBest forLatencyStatusSource
DeepSeek-V4-1-Flash-GLBdeepseek/deepseek-v4-1-flash-glbDeepSeek$0.3 / 1M tokens$1.20 / 1M tokens1M
Streaming
Chinese Q&A, general chat1557-3097msCatalogPlatform curated
Whisper Large V3 Turboopenai/whisper-large-v3-turboOpenAI$0 / 1M tokens$0 / 1M tokens—
Streaming
General chat via OpenAI, API workloads0-0msCatalogPlatform curated
‌Gemini 4 Argongoogle/gemini-4-argonGoogle$2 / 1M tokens$10 / 1M tokens1M
StreamingTool callingJSON modeVision
image understanding, multimodal chat2974-10589msCatalogPlatform curated
Claude Haiku 5.5anthropic/claude-haiku-5.5AnthropicStarting at $0.1 / 1M tokens$0.5 / 1M tokens1M
StreamingTool callingJSON modeVision
image understanding, multimodal chat1321-2017msCatalogPlatform curated
Doubao Seedance 2.5doubao/doubao-seedance-2-5-260628Doubao$0.225 / s——
StreamingVision
image understanding, multimodal chat0-0msCatalogPlatform curated
Dreamina-Seedance 2.0 Fastdreamina/dreamina-seedance-2-0-fast-260128Dreamina$0.122 / s——
StreamingVision
image understanding, multimodal chat0-0msCatalogPlatform curated
Dreamina Seedance 2.5dreamina/dreamina-seedance-2-5-260628Dreamina$0.234 / s——
StreamingVision
image understanding, multimodal chat0-0msCatalogPlatform curated
Gemini 3 Pro Image (Nano Banana Pro) gemini/gemini-3-pro-imageGemini$0.314 / image——
StreamingVision
image understanding, multimodal chat0-0msCatalogPlatform curated

FAQ

LLM API providers FAQ

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.

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