AI Battle > Rankings > Terminal-Bench 4.0: Time per Task
gpt-oss-120b (high) by OpenAI leads the Terminal-Bench 4.0: Time per Task ranking with a score of 1.88. The ranking covers 20 evaluated eval terminal from a public dataset that AI Battle re-checks daily.
Last updated: . Source: public benchmark datasets and provider pricing, aggregated daily; 20 entries shown.
| # | Entry | Creator | Value | Δ vs #1 |
|---|---|---|---|---|
| 1 | gpt-oss-120b (high) | OpenAI | 1.88 | 0.0% |
| 2 | Gemini 3.5 Flash-Lite | 2.57 | 36.8% | |
| 3 | Nemotron 3 Ultra 550B A55B (Reasoning) | NVIDIA | 5.30 | 182.2% |
| 4 | Mistral Medium 3.5 | Mistral | 6.99 | 272.4% |
| 5 | Muse Glimmer (high) | Meta | 7.63 | 306.5% |
| 6 | GPT-6 Astra (medium) | OpenAI | 10.3 | 447.4% |
| 7 | Gemini 3.8 Flash (high) | 10.4 | 456.4% | |
| 8 | GPT-6 Astra (high) | OpenAI | 10.8 | 473.1% |
| 9 | GPT-6 Astra (xhigh) | OpenAI | 14.5 | 671.9% |
| 10 | Muse Spark 1.3 (max) | Meta | 16.4 | 772.2% |
| 11 | DeepSeek V4.1 Flash (Reasoning, Max Effort) | DeepSeek | 16.8 | 793.8% |
| 12 | MiniMax-M3 | MiniMax | 17.6 | 839.3% |
| 13 | GPT-5.6 Luna (max) | OpenAI | 17.7 | 842.3% |
| 14 | Inkling (xhigh) | Thinking Machines | 17.9 | 851.8% |
| 15 | GPT-5.6 Sol (max) | OpenAI | 20.8 | 1008.8% |
| 16 | Claude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback) | Anthropic | 21.9 | 1063.9% |
| 17 | GPT-6 Astra (max) | OpenAI | 23.7 | 1164.9% |
| 18 | GLM 5.3 Flash | Z AI | 24.6 | 1211.6% |
| 19 | Grok 4.6 (high) | SpaceXAI | 25.2 | 1239.9% |
| 20 | GPT-5.6 Terra (max) | OpenAI | 27.1 | 1342.2% |
Across the 20 numeric entries in this window the median is 16.6 and the mean is 15.0, so the typical entry sits 14.7 above the leader. The window spans 1.88 to 27.1.
10 of 20 entries are at or above the median, and the top three hold 26% of the combined value — read it against the metric below, since a higher number is not "better" for every dataset.
11 creators appear in this window; the three most-represented hold 60% of the entries.
| Creator | Entries | Highest value | Top entry |
|---|---|---|---|
| OpenAI | 8 | 27.1 | GPT-5.6 Terra (max) |
| Meta | 2 | 16.4 | Muse Spark 1.3 (max) |
| 2 | 10.4 | Gemini 3.8 Flash (high) | |
| SpaceXAI | 1 | 25.2 | Grok 4.6 (high) |
| Z AI | 1 | 24.6 | GLM 5.3 Flash |
| Anthropic | 1 | 21.9 | Claude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback) |
| Thinking Machines | 1 | 17.9 | Inkling (xhigh) |
| MiniMax | 1 | 17.6 | MiniMax-M3 |
| DeepSeek | 1 | 16.8 | DeepSeek V4.1 Flash (Reasoning, Max Effort) |
| Mistral | 1 | 6.99 | Mistral Medium 3.5 |
| NVIDIA | 1 | 5.30 | Nemotron 3 Ultra 550B A55B (Reasoning) |
The same models are measured across multiple independent datasets. Aggregating the 20 entries above against every other AI Battle dataset gives this cross-section, computed by AI Battle and published nowhere upstream:
| Model | Datasets | Best placements elsewhere |
|---|---|---|
| gpt-oss-120b (high) | 39 | #1/20 in Cost to Run Artificial Analysis Intelligence Index, #1/20 in Cost to Run Artificial Analysis Intelligence Index, #1/20 in Humanity's Last Exam: Cost per Task |
| Gemini 3.5 Flash-Lite | 45 | #1/20 in End-to-End Response Time, #1/20 in Output Speed, #1/20 in Time per Intelligence Index Task |
| Nemotron 3 Ultra 550B A55B (Reasoning) | 49 | #1/12 in Artificial Analysis Openness Index: Score, #1/12 in Artificial Analysis Openness Index: Components, #3/20 in AA-Omniscience Index: Cost Breakdown |
| Mistral Medium 3.5 | 41 | #2/20 in GDPval-AA v2: Output Tokens per Task, #3/20 in Output Tokens per Intelligence Index Task, #3/20 in Output Tokens per Intelligence Index Task |
| Muse Glimmer (high) | 43 | #1/20 in Cost per Intelligence Index Task, #1/20 in Output Tokens per Intelligence Index Task, #1/20 in Cost per Intelligence Index Task |
| GPT-6 Astra (medium) | 12 | #1/20 in MMMU-Pro: Token Usage, #1/20 in AA-Omniscience Index: Token Usage, #2/20 in Terminal-Bench 4.0: Output Tokens per Task |
| Gemini 3.8 Flash (high) | 63 | #1/11 in Speed, #1/11 in Speed, #2/20 in Output Speed |
| GPT-6 Astra (high) | 11 | #1/20 in AA-Omniscience Index: Score, #2/20 in MMMU-Pro: Score, #2/20 in MMMU-Pro: Token Usage |
| GPT-6 Astra (xhigh) | 15 | #1/20 in Terminal-Bench 4.0: Score, #2/20 in Humanity's Last Exam: Output Tokens per Task, #3/20 in MMMU-Pro: Score |
| Muse Spark 1.3 (max) | 62 | #3/20 in Output Speed, #3/20 in Output Speed, #3/20 in GDPval-AA v2 Leaderboard |
| DeepSeek V4.1 Flash (Reasoning, Max Effort) | 59 | #2/20 in End-to-End Response Time, #2/20 in Latency: Time To First Answer Token, #2/11 in Cost per Task |
| MiniMax-M3 | 60 | #1/20 in AA-Omniscience Hallucination Rate, #1/20 in 𝜏³-Banking: Output Tokens per Task, #2/20 in AA-LCR v1.1: Time per Task |
| GPT-5.6 Luna (max) | 58 | #1/11 in Cost per Task, #1/11 in Cost per Task, #3/20 in Pricing: Cache Hit, Input, and Output |
| Inkling (xhigh) | 54 | #3/20 in Context Window, #3/20 in 𝜏³-Banking: Output Tokens per Task, #3/13 in Model Size: Total and Active Parameters |
| GPT-5.6 Sol (max) | 58 | #3/20 in SciCode: Output Tokens per Task, #4/20 in 𝜏³-Banking: Output Tokens per Task, #5/20 in Artificial Analysis Intelligence Index |
| Claude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback) | 22 | #1/20 in SciCode: Output Tokens per Task, #2/20 in AA-Omniscience Index: Token Usage, #2/20 in AA-LCR v1.1: Output Tokens per Task |
| GPT-6 Astra (max) | 54 | #1/20 in MMMU-Pro: Score, #2/20 in Artificial Analysis Intelligence Index, #2/20 in Artificial Analysis Intelligence Index by Open Weights / Proprietary |
| GLM 5.3 Flash | 55 | #1/20 in Pricing: Cache Hit, Input, and Output, #1/20 in Pricing: Cache Hit, Input, and Output, #1/20 in AA-Omniscience Index: Cost Breakdown |
| Grok 4.6 (high) | 64 | #2/20 in 𝜏³-Banking: Score, #4/20 in AA-Omniscience Index, #5/20 in Artificial Analysis Finance & Accounting Index |
| GPT-5.6 Terra (max) | 52 | #7/20 in AA-Briefcase Output Tokens per Task, #8/20 in Humanity's Last Exam: Output Tokens per Task, #10/20 in Artificial Analysis Intelligence Index |
This ranking carries the metric
Terminal-Bench 4.0 time per task from the
Terminal-Bench 4.0: Time per Task dataset in the tab::eval-terminal family. Units and the
direction of "better" are not declared by the source dataset, so AI Battle does not invent
them: values are shown exactly as published, and the ordering is the source dataset's own.
Rebuilt on from the
public dataset Terminal-Bench 4.0: Time per Task (family tab::eval-terminal).
The source lists 20 entries and all 20 are shown here. AI Battle requests
the dataset's rows, keeps the ordering the source publishes, and computes only the statistics
on this page: median, mean, spread, the #1–#2 gap, the creator breakdown and the raw-data file.
Nothing on this page is generated text about the entries — the numbers come from the source.
Refresh cadence: every deploy re-pulls the dataset, so this page tracks the source's own update cycle. Corrections: see the methodology page.
Machine-readable copy of this table, with the statistics below and the source provenance: /data/rankings/eval-terminal-terminal-bench-4-0-time-per-task.json. Free to reuse with attribution to AI Battle and the source dataset.
gpt-oss-120b (high) by OpenAI currently leads the Terminal-Bench 4.0: Time per Task ranking with a score of 1.88, the highest value in this dataset across eval terminal. AI Battle aggregates the dataset from its public source and re-checks it daily.
The Terminal-Bench 4.0: Time per Task ranking is rebuilt daily from the upstream public dataset. Scores are the source dataset's own published values, so positions track whatever that source last released — each ranking page names the dataset it comes from.
The top 3 are: 1. gpt-oss-120b (high) (1.88), 2. Gemini 3.5 Flash-Lite (2.57), 3. Nemotron 3 Ultra 550B A55B (Reasoning) (5.30).