Compare low-cost LLM API models by input price, output price, context length, capability, source, and production fit.
Cheap LLM API selection should start with workload shape, not only the lowest posted rate. For classification, summarization, routing, support drafts, and batch transformations, a lower-cost model can reduce monthly spend without changing your application interface. For final answers, complex reasoning, or coding agents, teams should benchmark a low-cost model against a stronger fallback. NextModel keeps price, context, capability, provider source, and code examples in one place so developers can make that tradeoff before deployment.
Source basis: NextModel curated catalog, provider public pricing, and OpenRouter metadata when available. · Updated 2026-07-01
Blended price
Start with the shortlist, then test real prompts and compare monthly cost before production routing.
Doubao Seed 2.0 Mini is the lowest-cost production model currently exposed through the NextModel public gateway. It is a practical default for Chinese Q&A, classification, summarization, and lightweight multimodal tasks.
DeepSeek V4 Flash is a long-context low-cost candidate for teams that need Chinese capability and batch-friendly pricing.
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...
DeepSeek V4 Flash is the low-cost, low-latency member of the DeepSeek V4 family, onboarded via the Volcengine Agent Plan.
Comparison table
Use this view when you're narrowing a production shortlist, building a fallback policy, or comparing model economics.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| Doubao Seed 2.0 Minidoubao-seed-2-0-mini | Volcengine | $0.029 / 1M tokens | $0.289 / 1M tokens | 128k | Tool callingVisionJSON modeLong context | Chinese Q&A, low-cost general chat | 900-2600ms | Production | Platform curated |
| DeepSeek V4 Flashdeepseek-v4-flash | DeepSeek | $0.112 / 1M tokens | $0.224 / 1M tokens | 128k | Tool callingJSON modeLong contextReasoning | low-cost Chinese tasks, long-context summary | 700-2200ms | Catalog | OpenRouter if available |
| Mistral: Mistral Small 3.2 24Bmistralai/mistral-small-3.2-24b-instruct | Mistral AI | $0.1 / 1M tokens | $0.3 / 1M tokens | 128k | Tool callingJSON modeStreamingLow cost | translation, classification | 700-2300ms | Catalog | OpenRouter if available |
| DeepSeek V4 Flashdeepseek-v4-flash | DeepSeek | $0.145 / 1M tokens | $0.289 / 1M tokens | 128k | Tool callingJSON modeStreamingLow cost | high-volume chat, lightweight agent steps | 700-2200ms | Production | Platform curated |
| Doubao Seed 2.0 Litedoubao-seed-2-0-lite | Volcengine | $0.087 / 1M tokens | $0.521 / 1M tokens | 256k | Tool callingJSON modeLong contextStreaming | high-volume chat, classification | 800-2600ms | Production | Platform curated |
| OpenAI: GPT-4o-miniopenai/gpt-4o-mini | OpenRouter | $0.15 / 1M tokens | $0.6 / 1M tokens | 128k | Tool callingVisionJSON modeLong context | low-cost chat, image understanding | 800-2400ms | Catalog | OpenRouter if available |
| Meta: Llama 4 Maverickmeta-llama/llama-4-maverick | Meta | $0.15 / 1M tokens | $0.6 / 1M tokens | 1M | JSON modeLong contextStreamingLow cost | open-model workflows, cost-sensitive long context | 950-2800ms | Catalog | OpenRouter if available |
| MiniMax M2.7minimax-m2-7 | MiniMax | $0.243 / 1M tokens | $0.975 / 1M tokens | 128k | Tool callingJSON modeStreamingLow cost | high-volume chat, agentic tool use | 900-2800ms | Production | Platform curated |
FAQ
The cheapest option depends on currency conversion and output length. Doubao Seed 2.0 Mini is the lowest-cost CNY production entry in this catalog.
No. Use cheap models for repeatable low-risk work, then compare quality against stronger models for final answers, complex reasoning, and coding agents.
Routing sends each request to the lowest-cost model that meets the quality bar, prompt caching reuses repeated input prefixes, and both run behind one OpenAI-compatible base URL. Estimate the effect with the LLM cost calculator at /tools/llm-cost-calculator.