Parsec vs OpenRouter

OpenRouter puts 400+ models from 60+ providers behind one API, with automatic failover and no markup on token prices. But routing only decides which model serves a call; the tokens it carries are what Parsec cuts — same model, measured 39% cheaper. Compare · Dasein · 2026-07-15. Chart of quality against cost per task: five model pairs OpenRouter can route to, each with an arrow showing Parsec cutting its cost at constant quality — Sonnet 4.6 from $2.58 to a measured $1.45, Grok 4.5 from $2.49 to an estimated $1.52, Opus 4.8 from an estimated $4.30 to $2.40, GPT-5.5 from $5.07 to an estimated $3.09, and Fable 5 from $11.80 to an estimated $7.20. Key takeaways: OpenRouter unifies 400+ models behind one API. One key over 400+ models from 60+ providers, token prices passed through at provider rates with no markup, plus automatic failover across outages. Parsec cuts $1.13 off every solved task. $1.45 per solved task against $2.58 uncompressed — 39% off the bill on 100 graded SWE-bench Verified tasks, while solving more (62/100 vs 57/100). A router picks which model; Parsec shrinks what every routed call carries. Same model, same request path, ~40% fewer tokens. Two different cost levers. OpenRouter's is model selection — a cheaper model, traded down a tier. Parsec holds the model and cuts the tokens: estimated $1.52 on Grok, estimated $7.20 on Fable 5. They stack. What OpenRouter is: A unified inference gateway: one API and one key over 400+ models from 60+ providers. Token prices pass through at each provider's published rate with no markup — Sonnet 4.6 bills at $3/$15 and Grok 4.5 at $2/$6 ($0.50 cached input), exactly as each lab charges. Auto Router, provider routing, and model fallbacks keep a request alive across rate limits, moderation, and downtime. Revenue comes from platform fees, not tokens: 5.5% on credit-card purchases and 5% on BYOK requests above 1M per month. One independently reported trade-off: that credit fee carries a $0.80 minimum, so small top-ups pay an effective rate well above 5.5%. What Parsec is: Dasein's context-compression layer for coding agents. It sits in the request path and curates the working context that grows every turn — tool results, file reads, transcript — so the model reads what it needs and no more, without churning the provider's prompt cache. It is provider-agnostic: frontier APIs and open models alike, nothing else in the stack changes. Request-path diagram: the coding agent's calls pass through Parsec, which curates the working context, then into OpenRouter, which routes each call on to a provider — xAI for Grok 4.5, Anthropic for Sonnet 4.6, Opus 4.8, and Fable 5, and 400+ more. Parsec shrinks what each routed call carries; OpenRouter picks where it goes. The measured result: $1.45 per solved task · 62/100 solved vs 57 baseline · −39% total cost · −25% wall-clock. One fixed agent (headless Claude Code on claude-sonnet-4-6), 100 SWE-bench Verified tasks, official Docker grader, cache-aware pricing. Cost per task, side by side: Claude Sonnet 4.6 + Parsec — 79.6%† SWE-bench Verified — $1.45 — measured, Code-Compression Bench. Grok 4.5 + Parsec — 86.6% — estimated $1.52 — −39% off the measured $2.49. Claude Opus 4.8 + Parsec — 88.6% — estimated $2.40 — bench dollars × Opus/Sonnet list price. Grok 4.5 (Grok Build) — 86.6% — $2.49 — measured, Artificial Analysis. Claude Sonnet 4.6 — 79.6%† — $2.58 — measured, Code-Compression Bench. GPT-5.5 + Parsec — 82.6% — estimated $3.09 — −39% off the measured $5.07. Claude Opus 4.8 — 88.6% — estimated $4.30 — bench dollars × Opus/Sonnet list price. GPT-5.5 (Codex) — 82.6% — $5.07 — measured, Artificial Analysis. Claude Fable 5 + Parsec — 95.0% — estimated $7.20 — −39% off the measured $11.80. Claude Fable 5 (Claude Code) — 95.0% — $11.80 — measured, Artificial Analysis. † Anthropic-published; every other score is Vals AI SWE-bench Verified on one shared harness. Every model here routes through OpenRouter at passthrough prices; the compression layer, not the routing decision, cuts about 40% off each at constant quality — and the measured pair (Sonnet) solves more than its baseline. When to choose what. Add Parsec when: The agent bill scales with a model that is staying put — a measured −39%, $1.45 per solved task on Sonnet 4.6, same model. The saving must come without trading quality down a tier — Parsec holds the model and cuts ~40% of the tokens, where routing swaps capability. Tasks are graded by outcome — CI has to pass, the patch has to merge, and a failed task costs more than its tokens. Traffic already routes through OpenRouter — a Grok-routed call then carries ~40% fewer tokens at estimated $1.52, cache intact. OpenRouter already covers you when: Access to many models behind one key and one bill is the requirement — 400+ models, 60+ providers, no per-lab contracts. Uptime is the priority — provider routing and model fallbacks fail over on rate limits, moderation, and downtime. The cost lever wanted is model selection — :floor routes to the cheapest provider for a model, no markup on the tokens. Models are being compared or A/B-tested — swapping a model ID reroutes without touching code, at passthrough rates. FAQ. Does Parsec replace OpenRouter? No — same request path. OpenRouter decides which model and provider serves a call; Parsec curates the context that call carries, so every routed call ships ~40% fewer tokens while the gateway still fails over and passes token prices through untouched. OpenRouter can route to a cheaper model — why compress instead? Routing trades quality down a tier; compression holds the model. Point :floor at a cheaper model and you get a cheaper model. Keep the model your solve rate depends on and Parsec cuts ~40% of the tokens it reads — on a Grok-routed call, estimated $1.52 against the measured $2.49 at the same 86.6%. Route to your model, then compress what it carries. Where do these numbers come from? Grok 4.5's $2.49, GPT-5.5's $5.07, and Fable 5's $11.80 are Artificial Analysis's independent measurements on its Coding Agent Index, each model in its native harness. The quality scores are Vals AI's SWE-bench Verified leaderboard. Parsec's $1.45 and the baseline's $2.58 come from the Code-Compression Bench run described above. Run the numbers yourself: The benchmark, methodology, and per-task data are open at https://github.com/daseinlabs/code-compression-bench Parsec wires into an existing request path — in front of OpenRouter or anywhere else — in one change, and the number that matters is measured on your own traffic at https://daseinlabs.ai Sources: Artificial Analysis, Coding Agent Index — per-model cost-per-task (Grok 4.5, GPT-5.5, Fable 5), 2026-07-08 — https://artificialanalysis.ai Vals AI, SWE-bench Verified leaderboard (same harness across models), 2026-07-09 — https://www.vals.ai/benchmarks/swebench OpenRouter, FAQ and pricing — no inference markup; 5.5% credit fee ($0.80 minimum); 5% BYOK above 1M/month, retrieved 2026-07-15 — https://openrouter.ai/docs/faq OpenRouter, How Model Routing Works — Auto Router, fallbacks, latency/price routing, retrieved 2026-07-15 — https://openrouter.ai/blog/insights/model-routing/ OpenRouter pricing analysis, effective credit-fee rate on small top-ups, 2026-07-15 — https://www.truefoundry.com/blog/openrouter-pricing Code-Compression Bench, run 2026-07-04 — sponsored and operated by Dasein, identical methodology for every arm including Parsec's — https://github.com/daseinlabs/code-compression-bench