Privacy-firstinferencestackforyouragents.
Guaranteed 15% off your current AI inference bill for team spending up to $20000 / month.
Privacy-firstinferencestackforyouragents.
Run Kimi K2.6 and 45+ open source models with unlimited agentic tool calls, secure failover, and zero data retention or training
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Tokens Processed
GLM 5Kimi K2.6DeepSeek V4 FlashMinimax M2.5Qwen 3 32BLlama 3.3 70BDeepSeek R1 671BGemma 3 27BQwen 3 Coder 30BMistral 7BDeepSeek V3.2Whisper v3Kokoro TTSBGE-LargeSDXLYOLOv11Oxlo Image ProLlama 4 MaverickGLM 5Kimi K2.6DeepSeek V4 FlashMinimax M2.5Qwen 3 32BLlama 3.3 70BDeepSeek R1 671BGemma 3 27BQwen 3 Coder 30BMistral 7BDeepSeek V3.2Whisper v3Kokoro TTSBGE-LargeSDXLYOLOv11Oxlo Image ProLlama 4 Maverick
Pro$80/mo
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✓DeepSeek R1DeepSeek V4 FlashKimi K2.6Kimi K2.5Kimi K2 ThinkingLlama 4 MaverickDeepSeek V3 0324DeepSeek V3.2GPT-OSS 120BLlama 3.3 70BMiniMax M2.5GLM-5
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Monthly Output Tokens
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100K10B
Monthly Cost Comparison
Together AI
$130.00
Hugging Face
$37.00
Fireworks AI
$32.90
OpenRouter
$32.90
Groq
$24.90
Oxlo.ai
$80.00
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Oxlo.ai is built for developers and AI teams who want cost clarity without complexity. A flat monthly plan means your infrastructure bill is always known, always fixed, and never a surprise.
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Chatbots & AI Assistants
Build chatbots and assistants for support, internal tools, and workflows.
DeepSeek V3.2, Llama 3.3 70B, Qwen 3 32B
Document Q&A and RAG
Query documents, PDFs, and knowledge bases using retrieval-augmented generation.
BGE-Large, E5-Large, DeepSeek R1
Text Generation & Summarization
Generate, rewrite, or summarize text for apps and internal systems.
Qwen 3 32B, GPT-OSS 120B, Llama 3.3 70B
Image Understanding
Analyze images for classification, detection, or visual understanding.
YOLOv9, YOLOv11, Gemma 3 27B
Speech & Audio
Convert audio into text or generate speech for transcription and voice workflows.
Whisper Large v3, Whisper Turbo, Kokoro TTS
Batch AI Processing
Process large volumes of AI requests efficiently using async or batch workflows.
Llama 3.1 8B, DeepSeek V3.2, BGE-Large
Benchmarks
Frontier models, at a fraction of the cost.
Kimi K2.6, available on Oxlo.ai, goes head to head with the frontier labs. See how it stacks up against GPT-5.4, Claude Opus 4.6, and Gemini 3.1 Pro.
92.5
DeepSearchQA (f1-score)
Best in class
83.0
DeepSearchQA (accuracy)
Best in class
54.0
HLE-Full w/ tools
Best in class
86.3
BrowseComp (agent swarm)
Best in class
80.8
WideSearch (item-f1)
Best in class
58.6
SWE-Bench Pro
Best in class
| Benchmark | Available on Oxlo.aiKimi K2.6 | GPT-5.4xhigh | Claude Opus 4.6max effort | Gemini 3.1 Prothinking high | Kimi K2.5 | | ------------------------------- | ----------------------------- | ------------ | ------------------------- | --------------------------- | --------- | | Agentic | | | | | | | HLE-Full w/ tools | 54.0 | 52.1 | 53.0 | 51.4 | 50.2 | | BrowseComp | 83.2 | 82.7 | 83.7 | 85.9 | 74.9 | | BrowseComp (agent swarm) | 86.3 | n/a | n/a | n/a | 78.4 | | DeepSearchQA (f1-score) | 92.5 | 78.6 | 91.3 | 81.9 | 89.0 | | DeepSearchQA (accuracy) | 83.0 | 63.7 | 80.6 | 60.2 | 77.1 | | WideSearch (item-f1) | 80.8 | n/a | n/a | n/a | 72.7 | | Toolathlon | 50.0 | 54.6 | 47.2 | 48.8 | 27.8 | | MCPMark | 55.9 | 62.5\ | 56.7\ | 55.9\* | 29.5 | | Claw Eval (pass^3) | 62.3 | 60.3 | 70.4 | 57.8 | 52.3 | | Claw Eval (pass@3) | 80.9 | 78.4 | 82.4 | 82.9 | 75.4 | | APEX-Agents | 27.9 | 33.3 | 33.0 | 32.0 | 11.5 | | OSWorld-Verified | 73.1 | 75.0 | 72.7 | n/a | 63.3 | | Coding | | | | | | | Terminal-Bench 2.0 (Terminus-2) | 66.7 | 65.4\* | 65.4 | 68.5 | 50.8 | | SWE-Bench Pro | 58.6 | 57.7 | 53.4 | 54.2 | 50.7 | | SWE-Bench Multilingual | 76.7 | n/a | 77.8 | 76.9\* | 73.0 | | SWE-Bench Verified | 80.2 | n/a | 80.8 | 80.6 | 76.8 | | SciCode | 52.2 | 56.6 | 51.9 | 58.9 | 48.7 | | OJBench (python) | 60.6 | n/a | 60.3 | 70.7 | 54.7 | | LiveCodeBench (v6) | 89.6 | n/a | 88.8 | 91.7 | 85.0 | | Reasoning & Knowledge | | | | | | | HLE-Full | 34.7 | 39.8 | 40.0 | 44.4 | 30.1 | | AIME 2026 | 96.4 | 99.2 | 96.7 | 98.3 | 95.8 | | HMMT 2026 (Feb) | 92.7 | 97.7 | 96.2 | 94.7 | 87.1 | | IMO-AnswerBench | 86.0 | 91.4 | 75.3 | 91.0\* | 81.8 | | GPQA-Diamond | 90.5 | 92.8 | 91.3 | 94.3 | 87.6 | | Vision | | | | | | | MMMU-Pro | 79.4 | 81.2 | 73.9 | 83.0\* | 78.5 | | MMMU-Pro w/ python | 80.1 | 82.1 | 77.3 | 85.3\* | 77.7 | | CharXiv (RQ) | 80.4 | 82.8\ | 69.1 | 80.2\ | 77.5 | | CharXiv (RQ) w/ python | 86.7 | 90.0\ | 84.7 | 89.9\ | 78.7 | | MathVision | 87.4 | 92.0\ | 71.2\ | 89.8\* | 84.2 | | MathVision w/ python | 93.2 | 96.1\ | 84.6\ | 95.7\* | 85.0 | | BabyVision | 39.8 | 49.7 | 14.8 | 51.6 | 36.5 | | BabyVision w/ python | 68.5 | 80.2\ | 38.4\ | 68.3\* | 40.5 | | V\ w/ python | 96.9 | 98.4\ | 86.4\ | 96.9\ | 86.9 |
Scores are percentages, higher is better. The best result in each row is highlighted.\* reproduced by the source. n/a means not reported. Source: Moonshot AI, Kimi K2.6 report.
Why teams switch to Oxlo.ai
HowOxlo.aiStandsOut
Frontier-class performance at request-based pricing, not premium per-token rates. The same results for less. Here is how we compare.
Pricing
Request-based pricing (not tokens)
Subscription plans with fixed monthly usage
Free tier without credit card
Pricing independent of prompt length
No model-specific pricing math
Usage limits visible upfront
Platform Capabilities
High-performance AI APIs
Production-ready infrastructure
Open-source model support
Enterprise-grade reliability
We never sell your data and never train on your prompts
Your prompts and outputs stay yours. We do not sell your data, and we never use your inputs to train models. Read our privacy policy.
FrequentlyAskedQuestions
Everything developers ask about Oxlo.ai, request-based pricing, and switching from other providers.
Is Oxlo.ai an alternative to Together AI, Fireworks AI or OpenRouter?
Yes. Oxlo.ai is a cost-efficient alternative for teams running large reasoning models in production. Unlike token-based providers, Oxlo.ai charges a flat monthly rate regardless of request volume or output length.
How is Oxlo.ai different from Together AI, Fireworks AI, and OpenRouter?
Oxlo.ai is your go-to inference provider that uses request-based pricing - you pay a flat fee per API call regardless of prompt length. Together AI, Fireworks AI, OpenRouter, and Replicate all charge per token (input + output), which means costs scale with prompt size. For long-context workloads like RAG pipelines or document analysis, Oxlo.ai can be 10-100x cheaper. All platforms support similar open-source models, but Oxlo.ai eliminates variable billing entirely.
What is request-based pricing for AI APIs?
Request-based pricing means you pay a flat fee per API call regardless of how many tokens are in your prompt or response. A 100-token request costs the same as a 50,000-token request. This is different from token-based pricing used by OpenAI, Together AI, Fireworks AI, OpenRouter, and Replicate, where costs scale linearly with input and output tokens. Oxlo.ai is the first major inference provider to offer request-based pricing, making costs completely predictable for developers.
Is Oxlo.ai OpenAI SDK compatible?
Yes, Oxlo.ai is fully compatible with the OpenAI Python and Node.js SDKs. To switch from OpenAI, Together AI, Fireworks AI, or OpenRouter, you only need to change the base\_url parameter to https://api.oxlo.ai/v1. All features work including streaming, function calling, JSON mode, vision models, embeddings, and image generation. No other code changes are required.
How do I switch from other providers to Oxlo.ai?
Switching from any OpenAI-compatible provider to Oxlo.ai requires changing only one line of code. Replace your current base\_url (e.g. api.together.xyz/v1, api.fireworks.ai/inference/v1, or openrouter.ai/api/v1) with https://api.oxlo.ai/v1 and update your API key. All other code stays identical. Sign up at oxlo.ai, generate an API key, and you're ready.
How much does it cost to run Llama 3.3 70B or Qwen 3 32B on Oxlo.ai?
Both Llama 3.3 70B and Qwen 3 32B are available on Oxlo.ai's Premium plan at $350/month, which includes up to 5,000 API requests per day. Unlike Together AI, Fireworks AI, or OpenRouter where a single long-context query can cost $0.05+ depending on token count, every request on Oxlo.ai costs the same flat rate regardless of prompt length. The Pro plan includes a 1-day free trial to test all production-ready models.
Does Oxlo.ai have a free tier?
Yes, Oxlo.ai offers a generous free tier with 60 requests per day across 16+ models including DeepSeek V3, Mistral 7B, Gemma 3 4B, Whisper (speech-to-text), Kokoro (text-to-speech), BGE-Large and E5-Large (embeddings), and YOLOv9/v11 (object detection). The Pro plan also includes a 1-day free trial. No credit card required.
Which open-source models does Oxlo.ai support?
Oxlo.ai supports over 40 models across 7 categories: Text/Chat (Qwen 3 32B, Llama 3.3 70B, DeepSeek R1, Mistral 7B, Gemma 3, Llama 4 Maverick), Code (Qwen 3 Coder 30B, DeepSeek Coder 33B), Vision (Gemma 3 27B, Kimi VL), Image Gen (Oxlo Image Pro, SDXL, SD 3.5 Large), Audio (Whisper Large v3, Kokoro 82M TTS), Embeddings (BGE-Large, E5-Large), and Detection (YOLOv9, YOLOv11).
What is the cheapest LLM inference API in 2026?
For long-context workloads, Oxlo.ai is the cheapest LLM inference API thanks to its unique request-based pricing model. While providers like Together AI, Fireworks AI, OpenRouter, and Replicate charge per token ($0.0002-$0.003 per 1K tokens depending on model size), Oxlo.ai charges a flat rate per API request regardless of prompt length. The Pro plan costs $80/month for 1,000 requests/day across all models, and Premium costs $350/month for 5,000 requests/day.
Does Oxlo.ai train on my data or sell it?
No. Oxlo.ai never sells your data and never uses your prompts or outputs to train models. Your inputs stay yours. Inference requests are processed to return your response, not to build training datasets.
How does Kimi K2.6 on Oxlo.ai compare to GPT-5.4, Claude Opus 4.6, and Gemini 3.1 Pro?
Kimi K2.6, available on Oxlo.ai, matches or beats the frontier labs on many agentic, coding, reasoning, and vision benchmarks. It leads on DeepSearchQA (92.5 f1), DeepSearchQA accuracy (83.0), HLE-Full with tools (54.0), and SWE-Bench Pro (58.6), based on the Kimi K2.6 report at kimi.com.
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