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Enkidu · model inventory

Which coding model is good at what, and how fast.

Every model Enkidu confirmed it can run, rated per skill from published leaderboards (SWE-bench, Terminal-Bench, Design Arena, OpenRouter τ²-bench), ranked against every other model on the same board. Speed is the time to finish the same small coding task.

yellow = approximate: no result on our boards, so it takes the profile of the closest rated model from an announcement page's comparison table~ = one leaderboard onlyestimate from search= no benchmark number exists, so the standing is read off what search results say the model is (the quoted page); the weakest kind of number herefound by Arca research= a published figure Arca found on the web and verified on the cited pageupdated 2026-09-25 15:25 UTC · 25 models, 1 approximate
modelagentspeedoverallrepoterminalbackendfullstackfrontendalgotoolsgame3Ddata vizscithinkingprice
claude-fable-5
leaderboardfound by Arca research
claude
anthropic
▮▮▯▯▯ 11.3s▮▮▮▮▮ 908571978792~≈10099~96~92~92~·low → maxincluded in your claude plan
fable
→ claude-fable-5-1
leaderboardfound by Arca research
claude
anthropic
▮▮▮▯▯ 9.2s▮▮▮▮▮ 897753969797~82~96~99~99~99~·low → maxincluded in your claude plan
gpt-6-astra
leaderboardfound by Arca research
codex
openai
▮▯▯▯▯ 17.1s▮▮▮▮▮ 866054·100~95~··100~100~95~·low → ultra · default mediumincluded in your codex plan
opus
→ claude-opus-5-5
leaderboardfound by Arca research
claude
anthropic
▮▮▮▮▯ 8.4s▮▮▮▮▮ 828180~·≈100100~·67~≈100≈100≈100·low → maxincluded in your claude plan
gpt-5.6-sol
leaderboardfound by Arca research
codex
openai
▮▮▮▮▮ 7.3s▮▮▮▮▮ 80624875~81~97~≈617598~97~94~·low → ultra · default lowincluded in your codex plan
gpt-6-sol
leaderboardfound by Arca research
codex
openai
▮▮▯▯▯ 13.5s▮▮▮▮▯ 78~76~···80~·46~92~·100~·low → ultra · default mediumincluded in your codex plan
gemini-3.7-flash
leaderboardfound by Arca research
opencode
google
▮▮▮▮▯ 8.1s▮▮▮▮▯ 754043·7493~≈48≈4794~92~93~·low → high$0.75 in · $3.75 out / M tok
gemini-3.8-flash
leaderboardfound by Arca research
opencode
google
▮▯▯▯▯ 22.9s▮▮▮▮▯ 754952·74~94~≈52≈5293~90~79~·low → high$0.75 in · $3.75 out / M tok
sonnet
→ claude-sonnet-5
leaderboardfound by Arca research
claude
anthropic
▮▮▮▮▮ 6.3s▮▮▮▮▯ 75554292~7986~·79~89~84~74~·low → maxincluded in your claude plan
gemini-flash-latest
≈ Arca's model identified it as Gemini 3.8 Flash (medium confidence) from https://openrouter.ai/google — "Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning."
estimate from search · medium confidence
openrouter.ai: “Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.”
opencode
google
▮▮▮▮▮ 3.6s≈ 75≈49≈52·≈74≈94··≈93≈90≈79·low → high$0.75 in · $3.75 out / M tok
gemini-3.6-flash
leaderboardfound by Arca research
opencode
google
▮▮▮▯▯ 10.2s▮▮▮▮▯ 736366625291~≈9762~82~87~92~·minimal → high$0.75 in · $3.75 out / M tok
muse-spark-1.3-contributor-free
leaderboardfound by Arca research
opencode
opencode
▮▮▮▯▯ 9.2s▮▮▮▮▯ 73406612~7999~·≈7597~99~96~·minimal → xhighfree
gpt-5.5
leaderboardfound by Arca research
codex
openai
▮▮▮▮▮ 7.1s▮▮▮▮▯ 68728851~21~75~≈657591~66~77~·low → xhigh · default mediumincluded in your codex plan
gpt-6-luna
leaderboardfound by Arca research
codex
openai
▮▮▮▯▯ 9.0s▮▮▮▮▯ 63~45~≈55≈66·82~·35~87~≈4270~·low → max · default mediumincluded in your codex plan
gemini-3.5-flash
leaderboardfound by Arca research
opencode
google
▮▮▮▮▯ 7.5s▮▮▮▮▯ 624155365180~·73~84~79~67~·minimal → high$1.5 in · $9 out / M tok
gpt-5.6-luna
leaderboardfound by Arca research
codex
openai
▮▮▯▯▯ 15.8s▮▮▮▮▯ 616858~69~≈1776~≈555565~44~59~·low → max · default mediumincluded in your codex plan
gpt-5.6-terra
leaderboardfound by Arca research
codex
openai
▮▮▮▮▯ 7.7s▮▮▮▯▯ 555144≈731779~56~5574~49~73~·low → ultra · default mediumincluded in your codex plan
gemini-3-flash-preview
leaderboardfound by Arca research
opencode
google
▮▮▯▯▯ 11.5s▮▮▮▯▯ 53452958~2760~·94~52~62~··minimal → high$0.5 in · $3 out / M tok
gemini-3.1-pro-preview
leaderboardfound by Arca research
opencode
google
▮▮▯▯▯ 14.4s▮▮▮▯▯ 511621·28~68~·76~66~75~58~·low → high$2 in · $12 out / M tok
mimo-v2.6-flash-free
found by Arca research
opencode
opencode
▮▮▮▮▯ 8.2s▮▮▮▯▯ 48~31~31~····84~····yesfree
big-pickle
found by Arca research · the page hedges the figure (~)
opencode
opencode
▮▯▯▯▯ 24.6s▮▮▮▯▯ 47~47~47~47~47~·······yesfree
nemotron-3-ultra-free
leaderboardfound by Arca research
opencode
opencode
▮▯▯▯▯ 19.4s▮▮▮▯▯ 43412845~45~37~·7843~48~30~·yesfree
space-bunny-free
found by Arca research
opencode
opencode
▮▮▮▯▯ 10.5s▮▮▯▯▯ 29~29~29~29~29~≈82≈70≈82≈84≈84≈84·low → maxfree
nemotron-3.5-lightning-free
leaderboardfound by Arca research
opencode
opencode
▮▯▯▯▯ 18.1s▮▯▯▯▯ 18~2~·····34~····yesfree
gemini-2.5-flash
leaderboardfound by Arca research
opencode
google
▮▮▮▮▮ 6.6s▮▯▯▯▯ 1515~···19~15~2116~14~11~·yes$0.3 in · $2.5 out / M tok

Index = the model's best published figure on each board, ranked 0–100 against every model on that board, weighted per skill. Hover a cell for the boards behind it. Rows come from the Enkidu inventory on one machine and refresh with it; a ≈ row is a stand-in until the model earns a row on a board we read.