AI Battle > Rankings > Cost per Task

Cost per Task Ranking — Coding Agents (2026)

null by null leads the Cost per Task ranking with a score of 0.24. The ranking covers 10 evaluated coding agents from a public dataset that AI Battle re-checks daily.

Last updated: . Source: public benchmark datasets and provider pricing, aggregated daily; 10 entries shown.

Codex - DeepSeek V4 Pro 0813 (max) (DeepSeek0.24Antigravity SDK - Gemini 3.8 Flash (high) (G2.47Claude Code - Qwen3.8 Max (Alibaba Cloud)3.49Grok Build - Grok 4.6 (xhigh) (SpaceXAI)3.57Muse Code - Muse Spark 1.3 (max) (Meta)3.98Opencode - GLM-5.3 ({'reasoning_effort': 'ma4.24Kimi Code CLI - Kimi K3 (Moonshot AI)5.05Codex - GPT-6 Astra (max) ({'reasoning_effor7.47Claude Code - Opus 5 (max) (Anthropic)10.8Claude Code - Fable 5.1 (max) (with fallback12.4
Every entry in the dataset, scaled from the smallest to the largest published value.

All 10 entries in this dataset

#EntryCreatorValueΔ vs #1
1Codex - DeepSeek V4 Pro 0813 (max) (DeepSeek)0.240.0%
2Antigravity SDK - Gemini 3.8 Flash (high) (Google)2.47936.4%
3Claude Code - Qwen3.8 Max (Alibaba Cloud)3.491365.3%
4Grok Build - Grok 4.6 (xhigh) (SpaceXAI)3.571399.6%
5Muse Code - Muse Spark 1.3 (max) (Meta)3.981570.7%
6Opencode - GLM-5.3 ({'reasoning_effort': 'max'}) (Z.ai)4.241681.5%
7Kimi Code CLI - Kimi K3 (Moonshot AI)5.052020.0%
8Codex - GPT-6 Astra (max) ({'reasoning_effort': 'max'}) (OpenAI)7.473039.5%
9Claude Code - Opus 5 (max) (Anthropic)10.84431.8%
10Claude Code - Fable 5.1 (max) (with fallback) (Anthropic)12.45103.4%

How the values are distributed

Across the 10 numeric entries in this window the median is 4.11 and the mean is 5.37, so the typical entry sits 3.87 above the leader. The window spans 0.24 to 12.4.

11411011
8 equal buckets between the smallest (0.24) and largest (12.4) value; numbers under bars are entry counts.

5 of 10 entries are at or above the median, and the top three hold 57% of the combined value — read it against the metric below, since a higher number is not "better" for every dataset.

Who publishes these entries

The source dataset for this family does not publish a provider or creator label per entry, so AI Battle cannot group them: the table above is the complete published list. Where the dataset does carry a label (model, gateway and tool families do), this section names the creators and how many entries each holds.

Metric reference

This ranking carries the metric codingAgentsMeanCostUsd from the Cost per Task dataset in the tab::agents-coding 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.

How this ranking is built

Rebuilt on from the public dataset Cost per Task (family tab::agents-coding). The source lists 10 entries and all 10 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.

Limitations

Raw data

Machine-readable copy of this table, with the statistics below and the source provenance: /data/rankings/agents-coding-cost-per-task.json. Free to reuse with attribution to AI Battle and the source dataset.

FAQ — Cost per Task

What is the best model for Cost per Task in 2026?

null by null currently leads the Cost per Task ranking with a score of 0.24, the highest value in this dataset across Coding Agents. AI Battle aggregates the dataset from its public source and re-checks it daily.

How often is the Cost per Task ranking updated?

The 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.

Which models rank in the top 3 for Cost per Task?

The top 3 are: 1. null (0.24), 2. null (2.47), 3. null (3.49).

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