TheFastest.ai
Daily-updated LLM speed benchmarks measuring TTFT, TPS, and total time across regions.
If you need latency data to choose an LLM provider for chatbots or streaming apps, this is your go-to source. It’s free, transparent, and daily-refreshed. Pair it with quality and cost benchmarks for a complete picture. Unlike vendor claims, TheFastest.ai offers independent, multi-region measurements you can trust. For a broader view, combine it with platforms like Artificial Analysis or Latency.at, which also track quality.
Verified 23h ago · liveness 25/100 · cite: rightaichoice.com/tools/thefastest-ai
- Developers comparing LLM latency for real-time chatbots
- DevOps engineers optimizing model deployment locations
- Product managers evaluating user-facing AI response speed
- SRE teams selecting providers based on throughput metrics
- Users needing quality or accuracy benchmarks
- Those looking for production API access or integrations
- Teams requiring SLA-backed performance guarantees
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Skip TheFastest.ai if you need quality or cost benchmarks, API access, or SLA-backed guarantees—it only measures speed.
Free for everyone—no accounts, no hidden fees, no API costs. It's a public resource, unlike paid alternatives like Artificial Analysis which offer premium tiers.
In short
TheFastest.ai — Daily-updated LLM speed benchmarks measuring TTFT, TPS, and total time across regions. Best for Developers comparing LLM latency for real-time chatbots, DevOps engineers optimizing model deployment locations, Product managers evaluating user-facing AI response speed. Free to use.
What people actually say about TheFastest.ai — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
19 mentions across 2 sources (YouTube, Bluesky) · researched Jul 28, 2026.
- +Daily-updated benchmarks keep data current.
- +Open-source code and public raw data ensure transparency.
- +Standardized methodology (1000/20 tokens) enables fair comparisons.
- +Multi-region testing (US West, US East, Europe) reveals geographic variance.
- +Filters by model name and prompt type (text, function, image, audio).
- −Only measures speed; ignores model quality, cost, and accuracy.
- −Supports only three US/EU regions – not truly global.
- −No community feedback or reviews to validate trust.
- −Tests only up to 20 output tokens – unrealistic for long responses.
- −No cost metrics or price-per-token comparisons.
Viability Score
How well maintained and how widely used is TheFastest.ai? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Daily-updated speed benchmarks
- Multi-region testing (US West, US East, Europe)
- Filter by model name
- Filter by prompt type (text, function, image, audio)
- Standardized 1000 input / 20 output token benchmarks
- Best-of-three runs removes outlier queuing delays
- Connection warmup eliminates HTTP setup latency
- Metrics: TTFT, TPS, total response time
- Raw data in public GCS bucket
- Open-source benchmarking tools on GitHub
- Website source code available on GitHub
- Request new models via GitHub issues
- Switchable light/dark mode
- No account or login required
- Runs distributed via Fly.io (cdg, iad, sea)
About TheFastest.ai
TheFastest.ai is a free, daily-refreshed benchmarking site that measures real-world inference speed of popular large language models across cloud providers. It tracks three core metrics: Time To First Token (TTFT), Tokens Per Second (TPS), and total response time. The site is built for developers and businesses deploying latency-sensitive AI applications like chatbots and streaming apps. Tests run from data centers in US West (Seattle), US East (Virginia), and Europe (Paris) using a standardized methodology: a warmup connection removes HTTP setup latency, ~1000 input tokens for text (or equivalent for image/audio/function prompts), 20 output tokens (the length of a typical conversational sentence), and best-of-three runs to filter queuing outliers. You can filter by model name (e.g., Llama 3.1 405B, GPT-4, Claude 3, Gemini) and by prompt type (text, function, image, audio). Raw data is public in a GCS bucket, and the benchmarking code is open-source on GitHub. Created by Fixie in Seattle, this site provides an objective speed-only comparison—no quality or cost metrics—making it a complement to broader evaluation tools.
Behind the Verdict
TheFastest.ai fills a specific niche: it gives you unbiased, current latency numbers for LLM inference across multiple providers and regions. The site is straightforward, free, and focuses solely on speed—TTFT, TPS, and total time. It doesn't try to score quality or cost, which is both a strength and a limitation. The methodology is clearly documented: each test uses a warmup connection, ~1000 input tokens, 20 output tokens, and best-of-three runs to filter outliers. This consistency makes the numbers comparable and trustworthy. The public GCS bucket and open-source code (ai-benchmarks repo) add a layer of reproducibility that’s rare among benchmark sites. You can filter by model and prompt type (text, function, image, audio), and even request new models via GitHub issues. If you’re a developer choosing a provider for a latency-sensitive app, this site is a practical, no-hype resource. However, it won't help if you need quality or cost comparisons—you’ll have to combine it with other tools like Artificial Analysis or Latency.at. The site is not a full service; it's a benchmarking utility, so don't expect APIs or integrations. Setup is instant—no account needed—and you can get value in minutes. In short, it’s a great free resource for a specific question: which model/provider is fastest right now for a given region and prompt type.
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Real-world workflow fit
Concrete scenarios for the personas TheFastest.ai actually fits — and what changes day-one when you adopt it.
You need to pick between GPT-4, Claude 3, and Gemini based on response speed in your region.
Outcome: You filter by model and region, see TTFT/TPS comparisons, and select the fastest provider for your users.
You want to track latency trends for a model you use in production.
Outcome: You download the public dataset and integrate it into your CI/CD pipeline to alert on latency spikes.
You're deciding whether a faster model is worth the cost.
Outcome: You use the site's speed data to estimate response time improvements for your app's UI.
Use Cases
- Compare TTFT of GPT-4, Claude 3, and Gemini across US and EU regions to choose a provider for your chatbot.
- Filter by provider and model to find the fastest option for real-time audio transcription with LLMs.
- Use the public dataset in your CI/CD pipeline to monitor latency and alert on regressions.
- Identify which model offers the best tokens-per-second for high-throughput text generation tasks.
- Benchmark your own model by filing a GitHub issue and see it appear in daily updates.
- Evaluate the speed trade-off of image and function inputs across providers for multimodal apps.
Models Under the Hood
as of 2026-09-01
Limitations
- The benchmarks use a single fixed input length (~1000 tokens) and output length (20 tokens), which may not represent all use cases.
- Only speed metrics are measured; there is no evaluation of response quality, safety, or cost.
- Data is updated daily but may not reflect real-time fluctuations.
as of 2026-08-19
Verification history
We have re-verified TheFastest.ai 8 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
Showing the 6 most recent of 8 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published TheFastest.ai tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Anyone needing quick, unbiased LLM latency data—developers, SREs, and product managers looking for a free, daily-updated benchmark.
What this tier adds
Free entry point with all features included; no paid tiers exist.
Where the pricing makes sense
The company stage and team size where TheFastest.ai's pricing actually pencils out — and where peers do it cheaper.
Free for everyone—no accounts, no hidden fees, no API costs. It's a public resource, unlike paid alternatives like Artificial Analysis which offer premium tiers.
Setup time & first value
How long it actually takes to get something useful out of TheFastest.ai — broken out by persona, not the marketing-page minute.
No sign-up needed; you can view benchmarks immediately. For incorporating data into your own monitoring, expect under an hour to pull from the GCS bucket.
Tutorials & Learning
Official links
Tools that pair well with TheFastest.ai
Common stack mates teams adopt alongside TheFastest.ai, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Thefastest Ai vs Spider Cloud
Choose TheFastest.ai if you need real-world LLM latency benchmarks to pick the fastest provider for your app; choose Spider Cloud if you need a fast, reliable web scraping API to feed data into AI agents or RAG pipelines. They serve completely different needs and are not direct competitors.
Thefastest Ai vs Temporal Ai
These tools serve completely different purposes: TheFastest.ai helps you pick the fastest LLM provider with free, daily benchmarks, while Temporal AI orchestrates durable workflows for AI agents and microservices. If you need latency data to choose a model, go with TheFastest.ai. If you need to build fault-tolerant, long-running AI workflows, Temporal is the clear choice.
Thefastest Ai vs Voyage Ai
These tools are not direct competitors. Voyage AI is a paid enterprise embedding and reranker service for accurate retrieval, while TheFastest.ai is a free benchmarking site for LLM inference speed. Choose Voyage if you need high-quality embeddings for finance/legal RAG; use TheFastest to compare provider latency.
Phoenix vs Thefastest Ai
If you need to pick the fastest provider for a latency-sensitive chatbot, TheFastest.ai gives you free, daily-updated benchmarks across regions. If you're debugging or evaluating complex AI agent workflows — with full traces, LLM-as-judge scoring, and dataset creation — Phoenix is the open-source choice. They serve different problems: speed measurement vs. agent quality. Your pick depends on whether you're optimizing for latency or building reliable agents.
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