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任务决策

LLM API：通过真实评估集选模型，而不是追随榜单

比较模型质量、工具调用、延迟、价格、数据政策和生命周期风险。

Recommendation

从 OpenAI 或 Anthropic 的一个主模型路线开始；只有明确的可靠性或成本收益时才加入多模型路由。

先用产品中的真实输入与失败案例建立评估，再比较供应商与模型。12

适用范围： Application and platform teams selecting a production language-model API for a measured text, reasoning, tool, or multimodal workload

Main trade-off

多供应商降低单点依赖，却提高评估、提示词和运维复杂度。1234

没有单一默认方案的原因： No provider is a stable universal default because model versions, capabilities, quality, latency, pricing, quotas, policies, regions, and deprecations change independently.

选择标准

按真实约束逐项判断，不要只比较功能列表。

  1. Workload quality

    Use representative, difficult, adversarial, and failure cases with explicit product acceptance criteria.2

  2. Required API surface

    Verify modality, tool use, structured output, context, streaming, batch, state, and observability needs against a specific model and endpoint.1

  3. Governance and delivery

    Confirm data use, retention, region, safety policy, direct or cloud delivery route, authentication, quota, and organizational requirements.2

  4. Lifecycle and economics

    Measure full input, output, cached, reasoning, tool, image, audio, batch, retry, and fallback costs and record model-version migration triggers.12

适用路线

这些条件会改变默认答案；请在作出承诺前逐项验证。

Broad managed model platform

Evaluate Broad managed model platform

Evaluate OpenAI when its current model and API surface covers the required modalities, tools, structured interactions, and operating workflow.

Verify: Select and test a specific current model; do not infer stable quality, context, price, region, retention, or feature support from the provider name.1

Claude API

Evaluate Claude API

Evaluate Anthropic when Claude capabilities and its direct or supported cloud routes fit the workload and organization.

Verify: Verify exact model identity, route-specific availability, data terms, region, lifecycle, limits, latency, and cost.2

Google model platform

Evaluate Google model platform

Evaluate Gemini when Google alignment and its current multimodal, tool, grounding, or delivery capabilities are material.

Verify: Distinguish stable, preview, latest, legacy, and experimental identifiers and verify backend, region, policy, quota, deprecation, and pricing.3

Mistral API and deployment

Evaluate Mistral API and deployment

Evaluate Mistral when its hosted portfolio, regional delivery, or open-model and deployment choices are relevant.

Verify: Verify the exact model license, API or deployment route, capability, infrastructure ownership, safety, lifecycle, and total operating cost.4

官方资源

官方文档与继续决策的正式路径。

来源

支撑页面关键主张的资料。

  1. 1
    OpenAI official documentation

    OpenAI · Accessed Official

  2. 2
    Anthropic official documentation

    Anthropic · Accessed Official

  3. 3
    Google Gemini official documentation

    Google Gemini · Accessed Official

  4. 4
    Mistral AI official documentation

    Mistral AI · Accessed Official

  5. 5
    OpenAI API pricing

    OpenAI · Accessed Official

  6. 6
    Anthropic model deprecations

    Anthropic · Accessed Official

  7. 7
    Gemini deprecations

    Google · Accessed Official

  8. 8
    Mistral API pricing

    Mistral AI · Accessed Official