Prizmal
MANAGED INFERENCE FOR DEVELOPERS

We manage inference so you can find what's next

One interface for every agent token stream, delivering frontier-level reasoning at a fraction of the cost without complex setup or management.

Get your API keyRead docsEstimate savings
FRONTIER REASONING
84
BenchAlign v5

Frontier-grade quality on complex tasks

Cost
-66%
vs frontier

Live from the calculator below. Run your own numbers

Availability
99.9
% target

Routing layer target, custom SLA terms on Enterprise agreements

Governance
100%
audited

Every request logged, capped, and policy-checked

Frontier Reasoning scored on BenchAlign v5, July 2026, via benchlm.ai. Cost modeled in the calculator below. The outlined chip marks a commitment. Plain numbers are measurements.

Beyond Intelligent Routing

Serverless managed inference for coding agents. The control layer keeps deciding while the answer is written: open models carry the routine spans, frontier steps in only when the work earns it. When a better model ships, they are tested, benchmarked, and the mixture update transparently.

SWITCHES MID-ANSWER

Not one model per request. The layer re-decides as the answer is written and escalates to frontier only for the tokens that earn it.

CONTEXT MOVES WHOLE

Every handoff carries the full context. The next model picks up mid-thought and your agent never notices.

GOVERNED AT THE LAYER

Allowlists, spend caps, kill switch, full audit trail. Policy applies before any model sees a token.

Coding harnesses
  • Copilot logoCopilot
  • Cursor logoCursor
  • Windsurf logoWindsurf
  • Claude Code logoClaude Code
  • Cline logoCline
  • Codex logoCodex
  • opencode logoopencode
  • Pi logoPi
  • Aider logoAider
Curated models
  • OpenAI logoOpenAI
  • Anthropic logoAnthropic
  • DeepSeek logoDeepSeek
  • Qwen logoQwen
  • Kimi logoKimi
  • GLM logoGLM

Frontier reasoning without the frontier bill

Your coding workloads execute within the Prizmal zone, achieving the optimal balance of reasoning depth and cost efficiency

FrontierOpen weightPrizmal
606570758085$0.5$1$2$5$10$20Reasoning score (BenchAlign v5)Blended cost per 1M tokens (log scale)BenchAlign v5, July 2026Frontier zonewidest range, best top endOpen weight zonecheap to near frontier at the topFrontier reasoningOpen weight pricePRIZMAL

Reasoning scores from benchlm.ai (BenchAlign v5, July 2026), blended pricing from pricepertoken.com and provider rate cards

Estimate your savings

A quick look at what Prizmal managed inference could do for your workload

Agents passed humans in token usage this year, and global inference now clears 300 trillion tokens a day. The mix is the new cost line.

Parallel agents per seat, the default

Employees (seats)
50 seats
Tokens per employee / day
66M / day

For scale: a workday assistant seat runs about 6M tokens a day, a full-day coding agent about 20M, and parallel-agent seats pass 60M. Profiles from published 2026 agent token math and provider usage data.

Frontier API cost / yr$577,500
Total with Prizmal / yr$199,125
Frontier API cost / yr
$577,500
blended $0.70/M, frontier list rate
Total with Prizmal / yr
$199,125
Prizmal Seats + API Calls
$34,125 / yr
Prizmal Serverless Inference
$165,000 / yr
Total Savings
66%
≈ $378,375 / year

Illustrative estimate. All-in seats plus $0.75 per 1,000 routed API calls (1 call ≈ 150,000 tokens), serverless inference at $0.20/M at cost, against a frontier baseline at a blended $0.70/M, 250 working days per year. Rates are variable. Seats modeled at an all-in $50 per month, governance included, above list on purpose. Plans on Pricing start at $29.

How it works

Three steps from your current stack to managed inference

  1. 01
    Get an API key

    Create your account and generate a key in a couple of minutes

  2. 02
    Point to Prizmal

    Set one base URL in your coding harness and keep your existing agent, prompts, and tools

  3. 03
    We manage each request

    We handle execution for every token so you can find, plan, build, and scale what's next

1# ~/.zshrc or ~/.bashrc
2export ANTHROPIC_BASE_URL=https://api.prizmal.ai/anthropic
3export ANTHROPIC_AUTH_TOKEN=$PRIZMAL_API_KEY
4export ANTHROPIC_MODEL=prizmal-auto
Every harness needs one base URL and one key, nothing else to configure

Works with the coding harnesses you already run, no rules to define and no agent to rebuild

Point your app at api.prizmal.ai

One key, one policy, one stream you own

No self-serve signup yet. We onboard you by hand and you have your key the same day.

Get your API keyTalk to us

Your code passes through the layer. Zero retention, never trained on. How we handle data