厂商 · 2026-08-13
cortecs
| 模型 | 输入 / 1M | 输出 / 1M | 上下文 | 服务商 | 标签 |
|---|---|---|---|---|---|
| nova-micro-v1 | $0.040 | $0.159 | 128K | 1 | tools · json · reasoning · vision |
| GPT OSS 20B | $0.045 | $0.167 | 131K | 1 | tools · json · reasoning · open-weights |
| ministral-3b-2512 | $0.111 | $0.111 | 256K | 1 | tools · json · vision |
| ministral-8b-2512 | $0.167 | $0.167 | 256K | 1 | tools · json · vision |
| nova-lite-v1 | $0.069 | $0.275 | 300K | 1 | tools · json · reasoning · vision |
| cosmos3-super-reasoner | $0.099 | $0.296 | 256K | 1 | tools · json · reasoning |
| voxtral-small-2507 | $0.111 | $0.334 | 32K | 1 | tools · json |
| ministral-14b-2512 | $0.223 | $0.223 | 256K | 1 | tools · json · vision |
| pixtral-12b-2409 | $0.223 | $0.223 | 128K | 1 | tools · json · reasoning · vision |
| Hermes 4 70B | $0.129 | $0.399 | 128K | 1 | tools · json · open-weights |
| GPT OSS 120B | $0.089 | $0.446 | 131K | 1 | tools · json · reasoning · open-weights |
| GPT OSS Safeguard 120B | $0.179 | $0.697 | 128K | 1 | tools · json · reasoning · open-weights |
| minicpm-v-4.5 | $0.651 | $1.10 | 32K | 1 | tools · json |
| nova-2-lite | $0.373 | $3.14 | 1M | 1 | tools · json · reasoning · vision |
| Apertus 70B | $1.39 | $2.23 | 66K | 1 | tools · reasoning · open-weights |
| hermes-4-405b | $0.996 | $2.99 | 128K | 1 | tools · json |
| Nova Pro 1.0 | $0.918 | $3.67 | 300K | 1 | tools · json · reasoning · vision |
| pixtral-large-2502 | $1.99 | $5.98 | 128K | 1 | tools · json · reasoning · vision |
| mistral-7b-instruct-v0.2衍生 | $0.159 | $0.219 | 32K | 1 | — |
| nemotron-nano-v2-12b衍生 | $0.240 | $0.707 | 128K | 1 | tools · json · reasoning · vision |
| Mixtral 8x7B Instruct v0.1衍生 | $0.488 | $0.758 | 32K | 1 | json · reasoning · open-weights |
| mistral-large-2402衍生 | $4.28 | $12.95 | 32K | 1 | tools · json · reasoning |
| Claude Opus 4.6衍生 | $5.31 | $26.56 | 1M | 1 | tools · json · reasoning · vision |
| Claude Opus 4.5 (latest)衍生 | $5.31 | $26.57 | 200K | 1 | tools · json · reasoning · vision |
| Claude Opus 4.8衍生 | $5.44 | $27.19 | 1M | 1 | tools · json · reasoning · vision |
| Claude Opus 4.7衍生 | $5.44 | $27.19 | 1M | 1 | tools · json · reasoning · vision |
| qwen3guard-gen-0.6b衍生 | 未公开 | 未公开 | 32K | 1 | — |
| qwen3guard-gen-8b衍生 | 未公开 | 未公开 | 32K | 1 | — |
Frequently asked questions
How many AI models does cortecs offer?
We track 18 canonical cortecs models plus 10 community fine-tunes / derivatives (excluded from the main table). The list is recomputed daily.
Which cortecs model is the cheapest?
nova-micro-v1 is currently the lowest-priced cortecs model, at $0.040 per 1M input tokens and $0.159 per 1M output tokens. For the full apples-to-apples list, see /pricing/cheapest-llm-api.
Which cortecs model has the largest context window?
nova-2-lite leads at 1M tokens. This is the total of prompt + completion.
Which cortecs models support tool calling?
Multiple cortecs models support tool calling, with nova-micro-v1 being a popular pick. The capability column in the table above marks every model with cortecs tool-calling support.
Which cortecs models accept image input?
nova-micro-v1 accepts image input. Other vision-capable cortecs models are tagged 'vision' in the table above. See /capabilities/vision for a cross-vendor comparison.
What are the best alternatives to cortecs?
Depends on the use case. For raw cost savings, look at /pricing/cheapest-llm-api. For agent-oriented workloads, /best/best-ai-model-for-agents. For long-document workflows, /best/best-long-context-llm.
How fresh is this cortecs pricing data?
Daily. Our pipeline syncs every morning and rebuilds these pages on data change, so list-price moves and new model releases land within roughly 24 hours.
Explore more
Top cortecs models
- nova-micro-v1$0.04 in / $0.16 out
- GPT OSS 20B$0.04 in / $0.17 out
- ministral-3b-2512$0.11 in / $0.11 out
- ministral-8b-2512$0.17 in / $0.17 out
- nova-lite-v1$0.07 in / $0.28 out
Browse by use case
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最近更新：
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.