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.
Terminal-Bench 2.1Terminal benchmark 2.1
— means no published score for this candidate in this source, not zero.8/11 recent-year models have scores
| No. | Model | Cost / TestCost per test | Input costInput price per million tokens | Output costOutput price per million tokens | DurationReported test duration | |
|---|---|---|---|---|---|---|
| 1 |  Claude Opus 5.5Claude Opus 5.5 | 87.64 | $0.5 | $4 | $20 | 6.38 min |
| 2 |  GPT-6 AstraGPT-6 Astra | 87.27 | $1.34 | $10 | $50 | 4.57 min |
| 3 | Claude Fable 5.1Claude Fable 5.1 | 85.02 | $3.07 | $10 | $50 | 8.33 min |
| 4 | Claude Opus 5Claude Opus 5 | 84.64 | $0.89 | $5 | $25 | 12.55 min |
| 5 | Claude Sonnet 5.5Claude Sonnet 5.5 | 83.15 | $0.63 | $2 | $10 | 7.77 min |
| 6 | GPT-6 SolGPT-6 Sol | 83.15 | $0.37 | $2 | $10 | 4.98 min |
| 7 | GPT-6 LunaGPT-6 Luna | 73.03 | $0.03 | $0.1 | $0.5 | 7.08 min |
| 8 |  Gemini 4 ArgonGemini 4 Argon | 57.68 | — | $4 | $20 | 14.03 min |
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 completing practical tasks in a terminal environment, such as coding and system operations. Versions use different task sets and should be compared separately. 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 Missing values are unpublished, not zero.