The board.
21 model IDs and 56 configurations, with available measurements across 5 benchmarks. Historical models remain visible; only current models enter automatic recommendations. Missing numbers are unmeasured, and provider access can vary by account.
Turn a provider off. The edge moves, and models another vendor was shadowing step straight back onto it — which is why the same number means something different to somebody signed into fewer things than you.
Change the benchmark and the board itself changes shape. A model that owns one is mid-table on the next. That is the whole reason the registry asks what you are doing before it answers, instead of keeping one league table and calling it intelligence.
Six words, and who answers them.
Chosen by hand, best first. The first vendor on a list you are signed into answers, so losing one walks you a place down it. We tried working this out arithmetically and it produced answers that were defensible and wrong.
| ask for | when | in order |
|---|---|---|
fast | Respond quickly to focused tasks; prefer low effort. | gpt-6-luna low fast › claude-haiku-5-5 low › gemini-3.8-flash-low |
code | Write and change code with a balance of capability and cost. | gpt-6.1-sol high › claude-opus-5-5 high › gemini-3.8-flash-high |
design | Create and iterate on polished interfaces and documents. | claude-sonnet-5-5 medium › gpt-6.1-sol high › gemini-3.8-flash-high |
research | Investigate complex questions and check the evidence. | gpt-6-astra high › claude-opus-5-5 high › gemini-3.8-flash-high |
cost | Keep cost low for focused, well-scoped tasks. | gpt-6-luna low › claude-haiku-5-5 low › gemini-3.8-flash-low |
general | A balanced default for everyday coding and professional work. | gpt-6.1-sol medium › claude-sonnet-5-5 medium › gemini-3.8-flash-medium |
Five leaderboards, and what each of them has actually measured.
A benchmark only earns a place here if somebody published the number. Coverage is uneven and stays uneven: a model no board has scored carries no score, and is simply not a candidate on that board.
| ask for | leaderboard | scored |
|---|---|---|
artificial-analysis-intelligence-index | Artificial Analysis Intelligence Index v4.3 | 28 of 56 |
gdpval-aa | GDPval-AA v2 | 28 of 56 |
terminal-bench | Terminal-Bench 4.0 | 26 of 56 |
agents-last-exam | Agents' Last Exam | 3 of 56 |
design-arena-full-stack | Design Arena — Full Stack | 18 of 56 |
The database, as it stands this second.
One row per model and effort, because effort changes all three numbers. A dash is a board that has not scored that model, and it is left as a dash rather than estimated onto the chart.
| model | artificial-analysis-intelligence-index | gdpval-aa | terminal-bench | agents-last-exam | design-arena-full-stack | $/task | time |
|---|---|---|---|---|---|---|---|
| gpt-6.1-sol low | — | — | — | — | — | — | — |
| gpt-6.1-sol medium | — | — | — | — | — | — | — |
| gpt-6.1-sol high | — | — | — | — | — | — | — |
| gpt-6.1-sol xhigh | — | — | — | — | — | — | — |
| gpt-6.1-sol max | — | — | — | — | — | — | — |
| gpt-6-luna low | — | — | — | — | — | — | — |
| gpt-6-luna medium | — | — | — | — | — | — | — |
| gpt-6-luna high | — | — | — | — | — | — | — |
| gpt-6-luna xhigh | — | — | — | — | — | — | — |
| gpt-6-luna max | — | — | — | — | — | — | — |
| gpt-6-sol medium | — | — | — | — | — | — | — |
| gpt-5.6-sol medium | — | — | — | — | — | — | — |
| gpt-5.6-luna medium | — | — | — | — | — | — | — |
| claude-opus-5-5 low | — | — | — | — | — | — | — |
| claude-opus-5-5 medium | — | — | — | — | — | — | — |
| claude-opus-5-5 high | — | — | — | — | — | — | — |
| claude-opus-5-5 xhigh | — | — | — | — | — | — | — |
| claude-opus-5-5 max | — | — | — | — | — | — | — |
| claude-sonnet-5-5 low | — | — | — | — | — | — | — |
| claude-sonnet-5-5 medium | — | — | — | — | — | — | — |
| claude-sonnet-5-5 high | — | — | — | — | — | — | — |
| claude-sonnet-5-5 xhigh | — | — | — | — | — | — | — |
| claude-sonnet-5-5 max | — | — | — | — | — | — | — |
| claude-haiku-5-5 low | — | — | — | — | — | — | — |
| claude-haiku-5-5 medium | — | — | — | — | — | — | — |
| claude-haiku-5-5 high | — | — | — | — | — | — | — |
| claude-haiku-5-5 xhigh | — | — | — | — | — | — | — |
| claude-haiku-5-5 max | — | — | — | — | — | — | — |
| gpt-6-astra max | 52.8 | 1580 | 0.59 | — | — | $3.26 | 8m 12s |
| gpt-6-astra xhigh | 52.5 | 1555 | 0.6 | — | — | $2.31 | 5m 38s |
| gpt-6-astra high | 51 | 1530 | 0.54 | — | — | $1.72 | 4m 05s |
| claude-opus-5 max | 50.7 | 1735 | 0.49 | 49 | 6.2 | $5.86 | 14m 12s |
| gpt-6-astra medium | 49.7 | 1501 | 0.49 | — | — | $1.54 | 3m 41s |
| claude-opus-5 xhigh | 49.7 | 1708 | 0.46 | — | 6.8 | $4.88 | 12m 22s |
| claude-opus-5 high | 48.2 | 1629 | 0.46 | — | 6.2 | $3.61 | 9m 19s |
| gpt-6-astra low | 46 | 1419 | 0.42 | — | — | $0.8175 | 1m 36s |
| claude-opus-5 medium | 45.1 | 1525 | 0.34 | — | 6.2 | $2.19 | 5m 51s |
| gpt-5.6-terra max | 42.3 | 1477 | 0.35 | 50.7 | 6.7 | $1.40 | 6m 19s |
| gemini-3.8-flash-high | 41.2 | 1464 | 0.2 | — | — | $1.24 | 4m 01s |
| gemini-3.8-flash-medium | 40 | 1455 | 0.2 | — | — | $0.9310 | — |
| claude-opus-5 low | 39.8 | 1372 | 0.26 | — | 6.2 | $1.10 | 2m 54s |
| gpt-5.4 xhigh | 39 | 1307 | — | — | 3 | — | — |
| gpt-5.5 xhigh | 38.6 | 1396 | 0.15 | 47.9 | 7 | $2.63 | 4m 28s |
| claude-sonnet-5 max | 38.4 | 1501 | 0.14 | — | 5.6 | $5.09 | 15m 39s |
| gpt-5.6-terra xhigh | 38.2 | 1479 | 0.1 | — | 6.7 | $0.6318 | 3m 37s |
| gpt-5.5 high | 37.3 | 1372 | 0.09 | — | 7 | $1.54 | 3m 17s |
| gpt-5.6-terra high | 34.5 | 1415 | 0.02 | — | 6.7 | $0.3379 | 2m 09s |
| gemini-3.6-flash-high | 34.3 | 1331 | 0.07 | — | 6.7 | $0.9288 | 3m 35s |
| gpt-5.5 medium | 34.2 | 1288 | 0.05 | — | 7 | $0.9017 | 1m 42s |
| gemini-3.8-flash-low | 33.8 | 1359 | 0.1 | — | — | — | — |
| gemini-3.5-flash-high | 33 | 1259 | 0.07 | — | 6 | $1.56 | 4m 06s |
| gpt-5.6-terra medium | 32.8 | 1319 | 0.01 | — | 6.7 | — | — |
| gpt-5.5 low | 30.7 | 1113 | — | — | 7 | — | — |
| gpt-5.6-terra low | 27.9 | 1179 | 0.02 | — | 6.7 | — | — |
| gpt-5.4-mini xhigh | 24.6 | 1095 | 0.02 | — | — | $0.4097 | 4m 44s |
| claude-haiku-4-5-20251001 | 17.6 | 854 | 0 | — | — | $0.2077 | 2m 48s |
The whole database is one file.
Administrators sign in with Silicon Accounts, edit model configurations and category recommendations, and publish. Earlier catalog versions are retained, and clients receive updates without a library release or website deployment.
Read the public models.json catalog, or use the admin editor to publish a change. This page reads live data; clients refresh their cached recommendations within the hour.
- Keyword shortlists are curated recommendations, not cross-provider benchmark winners. No Omni head-to-head evaluation has established a universal best model.
- Existing benchmark, per-task price, and timing measurements are preserved from the September 2026 import. They were not rerun during the October catalog update.
- New model rows have null scores, price, and secs until comparable measurements are captured. Vendor launch benchmarks are not mixed with the older benchmark versions or harnesses.
- API token prices are separate from per-task benchmark costs and subscription limits. Long-context, caching, speed tiers, and regional processing can change API pricing.
- A signed-in provider does not guarantee access to every model. The installed Codex model cache and Antigravity model list were checked on 2026-10-15; Claude Code account access was not probed with inference.
- GPT-5.6 options remain available for explicit selection. GPT-5.5 is retired for ChatGPT-authenticated Codex; API-key sessions are unaffected.
- Astra ultra is supported by the local app server but has no separately measured row here; its score is not inferred from max.
- Gemini 4 Argon is available on eligible Antigravity plans but absent from the checked account model list, so it is not a default or fallback here.