Observe real work
Watch representative requests, spend, latency, and success signals before a team changes any production route.
Lower your AI cost.
Experiment before traffic moves.
Give us a real workload and your quality bar. Compare candidate paths before anything moves into production.
Baseline
Shadow evaluation
Guarded rollout
Savings evidence
AUTOMATED EXPERIMENT PLATFORM
Observe the work. Test the path. Learn your route.
QuotaFlow observes representative production work, classifies it automatically, evaluates cheaper candidates by task-specific metrics, and produces the evidence needed to train a routing policy for your business. We agree the quality, cost, latency, and rollout guardrails with your team before anything moves.
Classify the task
Group PDF reports, retrieval, support replies, and coding automatically, then attach the right quality and speed metric.
Run candidate tests
Test lower-cost models and lower-cost provider paths against the baseline for every workload segment.
Train your routing policy
Turn the recommendation into a routing model for your business after agreeing the core quality, cost, latency, and rollout guardrails.
Different sources. One clear operating decision.
See each production task move from its current model to a verified lower-cost path.
Before · production todayAfter · verified candidate
PDF reporting
Claude Sonnet
Claude SonnetPDF reportingClaude Haiku56% lower cost · p95 +7%
Claude HaikuSupport replies
GPT-5
GPT-5Support replies
Gemini Flash63% lower cost · 24% faster
Gemini FlashGrounded retrievalClaude Sonnet
Claude SonnetGrounded retrieval
DeepSeek V448% lower cost · 98.9% quality match
DeepSeek V4Coding reviewGPT-5
GPT-5Coding reviewGPT-5 via lower-cost provider22% lower cost · p95 unchanged
GPT-5 via lower-cost providerWHY QUOTAFLOW
Evaluate when you need it. Let every result compound.
Keep developers focused on the best product experience. QuotaFlow provides an evaluation system on demand, then automates the repetitive work of classifying, testing, and learning from the results.
Evaluate on demand. Build nothing new.
Start a real evaluation when a cost or routing question appears. Your team does not need to build and maintain a separate evaluation system.
Automate evaluation on the fly
AI groups similar work, applies the right success metrics, and runs the promising candidate tests first so the loop moves faster.
Let each result make the next one better
Evidence from similar tasks compounds into stronger candidate selection and helps train a routing policy for your business.
How it works
Use the best model for the product. QuotaFlow runs the evaluation and learning loop around your existing stack.
- 1Change two values
Point your existing client to a new base URL and API key. Your SDKs, agents, prompts, and harnesses stay in place.
- 2Evaluate when it matters
Start on demand, or let QuotaFlow identify a high-cost or high-volume workload worth evaluating from live signals.
- 3Compound the evidence
Similar-task results improve which candidates are tested next and inform the routing policy you approve for production.
Why choose OSS
Open source has closed the gap.
On most production workloads, open source LLMs now match closed source on quality, at a fraction of the cost. On some, they're the strongest available choice.
DeepSeek-V4-Pro
deepseek:v4@pro
Flagship V4 model with a native 1M token context window, dual thinking modes, and up to 384K output tokens. Built for long-context reasoning and agentic workflows at scale.
Kimi K2.6
moonshotai:[email protected]
Top open source option for multimodal agents. Image and video understanding alongside long-horizon software tasks.
MiniMax M2.7
minimax:m2.7@0
Long-context agentic coding tuned for production tool use. Holds quality at high throughput.
Intelligence vs cost
Same intelligence band. A fraction of the cost.
Open sourceClosed source
GLM 5.2 (max) Scores within 90 Elo points of Claude Opus 4.8 (max) while costing 65% less.
DeepSeek V4 Pro (max) Scores ~60 Elo points above Gemini 3.5 Flash while costing over 98% less.
Side by side
Scores and pricing
Open source
DeepSeek-V4-Flash-0731~98x cheaper
deepseek:v4@flashClosed source
What open source buys you
A fraction of the cost to run. Auditable weights. No behaviour changes overnight, no surprise deprecations under your stack.
When closed source still wins
The most demanding reasoning, complex agent orchestration, and computer use. For most other production work, open source is the right default, and the right place to start.
LLM API pricing
What you'd save by switching to open source.
Pick a workload and a monthly token volume. We'll substitute the closed source model you're using today with an equivalent open source model on Runware, and show the monthly saving at your scale.
Use case
Monthly volume50M tokens
1M10M100M1B
Comparison against the equivalent closed source model billed direct from the provider. Real Runware list prices, blended across a representative input/output mix for the selected workload.
Monthly · 50M tokens
Open source on Runware
DeepSeek-V4-Pro on Runware
$58/mo
Closed source direct
GPT-5.5 direct
$501/mo
Monthly saving
$443· 88% less
Built for production
LLM inference built for demanding products.
Security
Your data stays yours.
FAQ
See what your AI workload could save.
Give us a representative workload and quality bar. We will observe, test, and show which cheaper paths are safe to use.
Start with evidence. Move only verified savings into production.
Run an evaluation