AI Battle > Rankings > AA-LCR v1.1: Cost per Task
gpt-oss-120b (high) by OpenAI leads the AA-LCR v1.1: Cost per Task ranking with a score of 0.01. The ranking covers 20 evaluated eval lcr 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 | 0.01 | 0.0% |
| 2 | GLM-5.3-Flash | Z AI | 0.01 | 2.1% |
| 3 | GPT-5.6 Luna (max) | OpenAI | 0.02 | 32.0% |
| 4 | MiniMax-M3 | MiniMax | 0.03 | 96.3% |
| 5 | DeepSeek V4.1 Flash (Reasoning, Max Effort) | DeepSeek | 0.03 | 100.3% |
| 6 | Muse Glimmer (high) | Meta | 0.03 | 129.6% |
| 7 | Gemini 3.5 Flash-Lite | 0.03 | 125.0% | |
| 8 | Qwen3.8 27B (xhigh) | Alibaba | 0.05 | 273.0% |
| 9 | Nemotron 3 Ultra 550B A55B (Reasoning) | NVIDIA | 0.06 | 353.3% |
| 10 | Gemini 3.8 Flash (medium) | 0.08 | 462.5% | |
| 11 | Gemini 3.8 Flash (high) | 0.08 | 462.5% | |
| 12 | Inkling (xhigh) | Thinking Machines | 0.09 | 560.0% |
| 13 | Muse Spark 1.3 (max) | Meta | 0.12 | 720.2% |
| 14 | DeepSeek V4 Pro 0813 (Reasoning, Max Effort) | DeepSeek | 0.13 | 781.9% |
| 15 | GLM-5.3 (max) | Z AI | 0.14 | 853.2% |
| 16 | Mistral Medium 3.5 | Mistral | 0.14 | 889.9% |
| 17 | Grok 4.6 (high) | SpaceXAI | 0.19 | 1228.2% |
| 18 | GPT-5.6 Terra (max) | OpenAI | 0.19 | 1220.0% |
| 19 | Qwen3.8 2.4T A95B | Alibaba | 0.21 | 1392.0% |
| 20 | Kimi K3 (max) | Kimi | 0.29 | 1898.5% |
Across the 20 numeric entries in this window the median is 0.08 and the mean is 0.10, so the typical entry sits 0.07 above the leader. The window spans 0.01 to 0.29.
11 of 20 entries are at or above the median, and the top three hold 35% of the combined value — read it against the metric below, since a higher number is not "better" for every dataset.
12 creators appear in this window; the three most-represented hold 40% of the entries.
| Creator | Entries | Highest value | Top entry |
|---|---|---|---|
| OpenAI | 3 | 0.19 | GPT-5.6 Terra (max) |
| 3 | 0.08 | Gemini 3.8 Flash (medium) | |
| Alibaba | 2 | 0.21 | Qwen3.8 2.4T A95B |
| Z AI | 2 | 0.14 | GLM-5.3 (max) |
| DeepSeek | 2 | 0.13 | DeepSeek V4 Pro 0813 (Reasoning, Max Effort) |
| Meta | 2 | 0.12 | Muse Spark 1.3 (max) |
| Kimi | 1 | 0.29 | Kimi K3 (max) |
| SpaceXAI | 1 | 0.19 | Grok 4.6 (high) |
| Mistral | 1 | 0.14 | Mistral Medium 3.5 |
| Thinking Machines | 1 | 0.09 | Inkling (xhigh) |
| NVIDIA | 1 | 0.06 | Nemotron 3 Ultra 550B A55B (Reasoning) |
| MiniMax | 1 | 0.03 | MiniMax-M3 |
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 |
| GLM-5.3-Flash | 54 | #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 |
| 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 |
| MiniMax-M3 | 57 | #1/20 in AA-Omniscience Hallucination Rate, #1/20 in 𝜏³-Banking: Output Tokens per Task, #4/20 in Pricing: Cache Hit, Input, and Output |
| DeepSeek V4.1 Flash (Reasoning, Max Effort) | 56 | #3/20 in End-to-End Response Time, #3/20 in Latency: Time To First Answer Token, #2/11 in Cost per Task |
| Muse Glimmer (high) | 43 | #1/20 in Output Tokens per Intelligence Index Task, #1/20 in Cost per Intelligence Index Task, #1/20 in Cost per Intelligence Index Task |
| Gemini 3.5 Flash-Lite | 44 | #1/20 in End-to-End Response Time, #1/20 in Output Speed, #1/20 in Time per Intelligence Index Task |
| Qwen3.8 27B (xhigh) | 43 | #6/20 in AA-Omniscience Hallucination Rate, #6/20 in 𝜏³-Banking: Score, #8/19 in MMMU-Pro: Total Cost to Run |
| Nemotron 3 Ultra 550B A55B (Reasoning) | 46 | #1/12 in Artificial Analysis Openness Index: Score, #1/12 in Artificial Analysis Openness Index: Components, #2/20 in 𝜏³-Banking: Time per Task |
| Gemini 3.8 Flash (medium) | 3 | #7/20 in AA-LCR v1.1: Score, #18/20 in AA-LCR v1.1: Output Tokens per Task |
| Gemini 3.8 Flash (high) | 60 | #1/11 in Speed, #1/11 in Speed, #2/20 in Output Speed |
| Inkling (xhigh) | 52 | #3/20 in Context Window, #3/20 in 𝜏³-Banking: Output Tokens per Task, #5/20 in AA-Briefcase Output Tokens per Task |
| Muse Spark 1.3 (max) | 61 | #3/20 in AA-Briefcase Elo, #3/20 in Output Speed, #3/20 in GDPval-AA v2 Leaderboard |
| DeepSeek V4 Pro 0813 (Reasoning, Max Effort) | 59 | #3/14 in Model Size: Total and Active Parameters, #3/12 in Artificial Analysis Openness Index: Score, #3/11 in Cost per Task |
| GLM-5.3 (max) | 57 | #3/20 in AA-Briefcase Tool Calls Breakdown, Avg per Task, #4/20 in GDPval-AA v2 Leaderboard, #4/20 in AA-Omniscience Hallucination Rate |
| 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 |
| Grok 4.6 (high) | 61 | #2/20 in 𝜏³-Banking: Score, #5/20 in AA-Briefcase Elo, #5/20 in AA-Omniscience 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, #9/20 in Output Speed |
| Qwen3.8 2.4T A95B | 43 | #2/14 in Model Size: Total and Active Parameters, #5/20 in AA-Briefcase Tool Calls Breakdown, Avg per Task, #5/20 in 𝜏³-Banking: Score |
| Kimi K3 (max) | 60 | #1/20 in Context Window, #1/20 in AA-LCR v1.1: Score, #1/14 in Model Size: Total and Active Parameters |
This ranking carries the metrics
answer, cacheHit, cacheWrite, input, reasoning from the
AA-LCR v1.1: Cost per Task dataset in the tab::eval-lcr 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 AA-LCR v1.1: Cost per Task (family tab::eval-lcr).
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-lcr-aa-lcr-v1-1-cost-per-task.json. Free to reuse with attribution to AI Battle and the source dataset.
gpt-oss-120b (high) by OpenAI currently leads the AA-LCR v1.1: Cost per Task ranking with a score of 0.01, the highest value in this dataset across eval lcr. AI Battle aggregates the dataset from its public source and re-checks it daily.
The AA-LCR v1.1: Cost 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) (0.01), 2. GLM-5.3-Flash (0.01), 3. GPT-5.6 Luna (max) (0.02).