refactrAll comparisons

Factr-I vs Prime

Factr-I scored higher than both Prime builds on five of the six benchmarks and tied the Rust build on the sixth. It finished the same 1,067 tasks on 68.1M tokens for $3.81, against 135.2M for $4.61 from Prime v0.9.8 and 159.7M for $13.49 from the Rust build. Prime's Rust build holds lower peak memory on four of the six benchmarks.

Every harness ran the same 1,067 tasks from six public benchmarks on GPT-6 Luna at medium reasoning effort. Results as of 2026-10-12.

Scores

Benchmark score (higher is better)
BenchmarkFactr-IPrime (Rust)Prime
Long-context pairsOOLONG-Pairs · 20 tasks73.8%F123.4%F132.7%F1
Long-context reasoningOOLONG · 50 tasks90.0%45/5048.0%24/5060.0%30/50
General assistantGAIA · 165 tasks40.0%66/16539.4%65/16537.6%62/165
Terminal tasksTBLite · 100 tasks68%68/10059%59/10064%64/100
Code editingPolyglot · 225 tasks86.2%194/22570.2%158/22573.3%165/225
Long reasoningLongCoT-Mini · 507 tasks19.3%98/50719.3%98/50717.6%89/507

Peak memory

Median peak memory per task (lower is better)
BenchmarkFactr-IPrime (Rust)Prime
Long-context pairsOOLONG-Pairs · 20 tasks84MiB72MiB627MiB
Long-context reasoningOOLONG · 50 tasks96MiB71MiB618MiB
General assistantGAIA · 165 tasks53MiB103MiB637MiB
Terminal tasksTBLite · 100 tasks27MiB46MiB778MiB
Code editingPolyglot · 225 tasks390MiB255MiB826MiB
Long reasoningLongCoT-Mini · 507 tasks68MiB60MiB609MiB

Tokens and cost

Totals across all 1,067 tasks (lower is better)
BenchmarkFactr-IPrime (Rust)Prime
Total tokensAll 1,067 tasks68.1M159.7M135.2M
Total costAll 1,067 tasks$3.81$13.49$4.61

Where each one leads

Where Factr-I leads

  • Higher score on five of six benchmarks, and a tie with the Rust build on long reasoning.
  • Widest gaps on long context: 73.8% against 32.7% on OOLONG-Pairs, and 90.0% against 60.0% on OOLONG.
  • Fewest tokens of any harness in the report, and the lower dollar cost against both Prime builds.

Where Prime leads

  • Prime's Rust build uses less peak memory on four of six benchmarks, including 255 MiB against 390 MiB on code editing.
  • On the general assistant benchmark the gap is 0.6 of a point, 40.0% against 39.4%, which is close to a tie.

Context: Prime's post on porting its agent to Rust.

Questions

Is Factr-I more accurate than Prime?

On these benchmarks, yes. It scored higher on five of six and tied the Rust build on long reasoning.

Which costs less to run?

Factr-I, on this report. It used 68.1M tokens for $3.81, against $4.61 for Prime v0.9.8 and $13.49 for the Rust build.

Why are there two Prime columns?

Prime rewrote itself in Rust on October 9, 2026. The earlier build ran first, then the Rust build once it was released.

Does Prime beat Factr-I anywhere?

Yes. The Rust build holds lower peak memory per task on four of the six benchmarks.

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Also see Factr-I vs Hermes, Factr-I vs OpenCode, Factr-I vs Claude Code, Factr-I vs Codex, Factr-I vs Cursor.