AI Model Capability Comparison

Agentic coding

Only models released within the past year are shown. Only benchmarks covering at least 3 of these models are shown. Unknown release dates are excluded; historical data is retained.

Vibe Code BenchVibe coding benchmark

— means no published score for this candidate in this source, not zero.10/11 recent-year models have scores

No.ModelCost / TestCost per testInput costInput price per million tokensOutput costOutput price per million tokensDurationReported test duration
1AnthropicClaude Sonnet 5.5Claude Sonnet 5.592.39$31.25$2$1061 min
2Google DeepMindGemini 4 ArgonGemini 4 Argon91.91$8.11$4$2037.47 min
3AnthropicClaude Haiku 5.5Claude Haiku 5.590.44$6.07$0.1$0.534.6 min
4AnthropicClaude Opus 5.5Claude Opus 5.590.29$57.92$4$2096 min
5AnthropicClaude Fable 5.1Claude Fable 5.190.26$33.37$10$5057.67 min
6OpenAIGPT-6 AstraGPT-6 Astra89.59$38.51$10$5039.07 min
7OpenAIGPT-6.1 SolGPT-6.1 Sol88.93$6.23$2$1075 min
8AnthropicClaude Opus 5Claude Opus 588.4$33.88$5$2588 min
9OpenAIGPT-6 SolGPT-6 Sol87.82$26.36$2$1038.93 min
10OpenAIGPT-6 LunaGPT-6 Luna81.65$1.35$0.1$0.537 min

Vals.ai benchmarks

Source: Vals.ai ↗ · Updated 2026-10-19

Vibe Code Bench · Updated 2026-10-19

PandaNpc Updated Oct 21, 2026, 06:01 UTC

Source: Epoch AI, CC BY 4.0 · Vals.ai · Artificial Analysis (artificialanalysis.ai)

Column guide

No.
Display order only. Sorting changes this number; it is not a published capability rank.
Model
The evaluated model name and its provider icon. A dash in a score column means no published score is available here, not a zero.
Score
Tests building web applications from natural-language requests, evaluating the resulting application rather than isolated code answers. Evaluation methodology ↗
Cost / Test
Cost per test · USD
Input cost
Input price per million tokens · USD / 1M tokens
Output cost
Output price per million tokens · USD / 1M tokens
Duration
Reported test duration · s / min
Vals.ai
Costs and times are reported by Vals for this benchmark, not universal model prices or latency. CUA-bench estimated API cost covers evaluation usage and is a lower-bound estimate, not cost per task; time per action is an average, not a median. An asterisk marks launch-day prompt-cache behavior that increased cache-write costs. Missing values are unpublished, not zero.