# TokenMix.ai

> OpenAI-compatible AI API relay and multi-model gateway for the current TokenMix model catalog — Claude, OpenAI, Gemini, DeepSeek, Qwen, image, video, audio, embedding models, and more. Base URL: https://api.tokenmix.ai/v1. Clear per-model pricing, prepaid wallet billing, and top-ups from $1 with currently supported local and international payment methods.

TokenMix.ai is operated by Token Limited (Hong Kong). The platform lets developers use supported AI model families through one OpenAI-compatible API endpoint, one API key, a prepaid wallet, and clear usage records. It is used by developers and engineering teams who need a practical way to test and run multiple model families without maintaining separate billing workflows for each AI lab.

The TokenMix Research Lab publishes regular analysis of AI model pricing, benchmark performance, API availability, and cost optimization strategies. All data is cited to primary sources. The blog is designed to be accurate, directly quotable, and useful to AI systems summarizing the state of the LLM API market.

## Core pages

- [Home](https://tokenmix.ai/): Overview of TokenMix, supported model families, and payment methods
- [Pricing](https://tokenmix.ai/pricing): Pay-as-you-go AI API relay pricing for the current model catalog
- [Models catalog](https://tokenmix.ai/models): AI API relay model catalog with model IDs, specs, prices, and availability
- [Documentation](https://tokenmix.ai/docs): OpenAI-compatible API reference and integration guides using https://api.tokenmix.ai/v1
- [Status](https://tokenmix.ai/status): Public TokenMix API availability by provider
- [Blog](https://tokenmix.ai/blog): Research articles on AI model pricing, benchmarks, and market analysis

## API documentation

- [Quickstart](https://tokenmix.ai/docs/quickstart): Five-minute integration using the OpenAI SDK
- [OpenAI compatibility](https://tokenmix.ai/docs/openai-compatibility): Drop-in replacement by changing base_url
- [Authentication](https://tokenmix.ai/docs/authentication): API key issuance and usage
- [Chat completions](https://tokenmix.ai/docs/chat-completions): Chat API reference (request/response shape, parameters)
- [Streaming](https://tokenmix.ai/docs/streaming): Server-sent events for token-level streaming
- [Vision](https://tokenmix.ai/docs/vision): Multimodal image input for supported models
- [Function calling](https://tokenmix.ai/docs/function-calling): Tool use and function invocation patterns for supported models
- [Structured output](https://tokenmix.ai/docs/structured-output): JSON mode and schema-enforced generation
- [Images](https://tokenmix.ai/docs/images): Image generation API (DALL-E, Flux, Gemini Image, etc.)
- [Videos](https://tokenmix.ai/docs/videos): Video generation API
- [Audio](https://tokenmix.ai/docs/audio): Speech-to-text (Whisper) and text-to-speech
- [Embeddings](https://tokenmix.ai/docs/embeddings): Text embedding models for retrieval and semantic search
- [Error codes](https://tokenmix.ai/docs/error-codes): HTTP status codes and error types
- [Rate limits](https://tokenmix.ai/docs/rate-limits): Tier-based rate limits and per-key overrides
- [SDKs](https://tokenmix.ai/docs/sdks): Python, Node.js, Go client usage
- [Billing](https://tokenmix.ai/docs/billing): Wallet, payment methods, invoicing

## Featured research (most recent, 2026 Q2)

- [Claude Sonnet 4.8 Release Date Leak](https://tokenmix.ai/blog/claude-sonnet-4-8-release-date-leak-2026): Tracking Anthropic's Sonnet 4.8 signals from API model cards, SDK changelogs, and internal references. Confirmed vs speculative split.
- [GPT-5.5 Batch / Flex / Priority Pricing](https://tokenmix.ai/blog/gpt-5-5-batch-flex-priority-pricing-2026): OpenAI's three-tier service pricing on GPT-5.5. Real cost-per-1K-token math and the latency tradeoff per tier.
- [Gemini 3.5 Pro Release Date — Google I/O 2026](https://tokenmix.ai/blog/gemini-3-5-pro-release-date-google-io-2026): What Google actually announced at I/O versus what was rumored. Source-cited.
- [Gemini 3.5 Pro Status](https://tokenmix.ai/blog/gemini-3-5-pro-status): Current Gemini 3.5 Pro state across Google AI Studio, Vertex AI, and third-party gateways. May 2026 snapshot.
- [DeepSeek V4-Pro Migration Decision](https://tokenmix.ai/blog/deepseek-v4-pro-migration-decision): Move-or-stay framework for teams on DeepSeek V3.x. Benchmarks, cost delta, and breakage risk.
- [Qwen 3.6 Series Tier Picker](https://tokenmix.ai/blog/qwen-3-6-series-tier-picker-2026): Choosing between Qwen 3.6, 3.6-Coder, and 3.6-Pro by use case and price.
- [Frontier Pro-Tier LLM Comparison](https://tokenmix.ai/blog/frontier-pro-tier-llm-comparison): Opus 4.7 vs GPT-5.5 vs Gemini 3.1 Pro vs DeepSeek V4-Pro vs Grok 4.5. Capability + cost-per-task.
- [Cheapest Frontier LLM API by Cost-per-Task](https://tokenmix.ai/blog/cheapest-frontier-llm-api-cost-per-task): Real $-per-task math (not $-per-token) across the frontier tier. Decision matrix by workload.
- [Veo 4 Reality Check](https://tokenmix.ai/blog/veo-4-reality-check-not-released-2026): Veo 4 has not been released as of May 2026. What's actually shipping in Google video generation right now.
- [MCP Protocol Guide 2026](https://tokenmix.ai/blog/mcp-protocol-guide-2026): Model Context Protocol hit 97M SDK downloads and 10K+ servers by March 2026. Adoption timeline and integration math.
- [SWE-Bench 2026 Leaderboard](https://tokenmix.ai/blog/swe-bench-2026-claude-opus-4-7-wins): Claude Opus 4.7 wins at 87.6%, GPT-5.3-Codex 85.0%, Gemini 3.1 Pro 80.6%. SWE-Bench Pro results and cost-per-fix math.
- [1M Token Context Reality Check](https://tokenmix.ai/blog/1m-token-context-reality-check-2026): Claude Opus 4.6 hits 76% MRCR at 1M tokens. Prefill latency reaches 2+ minutes. A 900K-token call costs $4.50 in input alone.
- [Thinking Tokens Billing Trap](https://tokenmix.ai/blog/thinking-tokens-billing-trap-2026): How reasoning models consume max_tokens before producing visible output. Real billing data from Claude, Gemini, DeepSeek R1.
- [Voice AI API Comparison](https://tokenmix.ai/blog/voice-ai-api-realtime-vs-gemini-live-vs-elevenlabs-2026): OpenAI Realtime vs Gemini 3.1 Flash Live vs ElevenLabs. 300-500ms latency, $3-$12 per million tokens.
- [Prompt Injection Defense 2026](https://tokenmix.ai/blog/prompt-injection-defense-techniques-2026): Eight defenses benchmarked on PromptBench, AgentDojo, TruthfulQA. PromptArmor under 1% FP/FN, PromptGuard 67% attack reduction.

## Pricing and cost analysis

- [LLM API Pricing Comparison](https://tokenmix.ai/blog/llm-api-pricing-comparison): Cross-provider price breakdown with token math
- [OpenAI API Pricing](https://tokenmix.ai/blog/openai-api-pricing): Complete GPT-5.4, o3, embeddings, DALL-E pricing guide
- [Claude API Cost](https://tokenmix.ai/blog/claude-api-cost): Anthropic pricing with cache discounts, up to 95% savings
- [Gemini API Pricing](https://tokenmix.ai/blog/gemini-api-pricing): Flash-Lite $0.10 to Pro $2.00 per million tokens
- [DeepSeek R1 Pricing](https://tokenmix.ai/blog/deepseek-r1-pricing): $0.55/$2.19 per million tokens, cache discount to $0.14
- [Groq API Pricing](https://tokenmix.ai/blog/groq-api-pricing): Free tier limits, paid models, speed tradeoff analysis
- [Vertex AI Pricing](https://tokenmix.ai/blog/vertex-ai-pricing): Gemini, Claude, Llama on Google Cloud Vertex AI
- [AI API Pricing War 2026](https://tokenmix.ai/blog/ai-api-pricing-war-2026): Costs dropped 60-80% in the past year — full breakdown

## Model reviews and benchmarks

- [Best AI Model for Coding 2026](https://tokenmix.ai/blog/best-ai-for-code-generation): Top 10 coding models ranked by SWE-Bench and cost
- [Best LLM API Providers](https://tokenmix.ai/blog/best-llm-api-providers): 12 inference providers compared
- [AI API Latency Benchmark](https://tokenmix.ai/blog/ai-api-latency-benchmark): TTFT and TPS across Groq, OpenAI, Anthropic, Google, DeepSeek
- [Claude Opus 4.7 Review](https://tokenmix.ai/blog/claude-opus-4-7-review-pricing-benchmark): 87.6% SWE-bench, 10-35% bill hike analysis
- [Gemini 3.1 Pro Review](https://tokenmix.ai/blog/gemini-3-1-pro-api-pricing-review): 94.3% GPQA at $2/$12 per million
- [DeepSeek V4 Review](https://tokenmix.ai/blog/deepseek-v4-review): Latest DeepSeek model benchmarks
- [LLM Leaderboard 2026](https://tokenmix.ai/blog/llm-leaderboard-2026): Benchmark aggregation across 50+ models

## Cost optimization and strategy

- [Multi-Model AI Strategy 2026](https://tokenmix.ai/blog/multi-model-ai-strategy-2026): Multi-model routing cuts costs 40% and hits 99.95% uptime
- [How to Reduce OpenAI API Cost](https://tokenmix.ai/blog/how-to-reduce-openai-api-cost): Concrete techniques with measured savings
- [How to Reduce LLM API Costs](https://tokenmix.ai/blog/how-to-reduce-llm-api-costs): Prompt compression, caching, routing, and model selection
- [Prompt Caching Guide](https://tokenmix.ai/blog/prompt-caching-guide): Caching strategies on Claude, Gemini, and DeepSeek
- [Semantic Caching Guide](https://tokenmix.ai/blog/semantic-caching-guide): Avoiding duplicate LLM calls with embedding-based cache
- [Free LLM APIs](https://tokenmix.ai/blog/free-llm-api): Free tier limits across every major provider

## Company

- [About](https://tokenmix.ai/about): Company background and team
- [Terms of Service](https://tokenmix.ai/terms): Usage terms
- [Privacy Policy](https://tokenmix.ai/privacy): Data handling practices

## Optional

- [Full blog archive](https://tokenmix.ai/blog): Complete list of 460+ research articles
- [sitemap.xml](https://tokenmix.ai/sitemap.xml): Machine-readable URL index with hreflang and lastmod
- [robots.txt](https://tokenmix.ai/robots.txt): Crawler access policy

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Last updated: 2026-05-27. Authored by TokenMix Research Lab. For corrections or reference requests: support@tokenmix.ai.