Score
Tasks resolved
gpt-6-astra [xhigh]OpenAI
74% ±3%
gemini-3.8-flash [high]Google
74% ±1%
claude-opus-5 [max]Anthropic
74% ±4%
gpt-5.6-sol [max]OpenAI
73% ±3%
claude-fable-5 [xhigh]Anthropic
70% ±3%
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Model benchmarks
Model leaderboard
Model scores measure a specific task. They do not rank complete SaaS products.
#ModelAvailable throughTasks resolved
01
gpt-6-astra [xhigh]OpenAI
Codex
74%±3%
02
gemini-3.8-flash [high]Google
Gemini CLI
74%±1%
03
claude-opus-5 [max]Anthropic
Claude Code
74%±4%
04
gpt-5.6-sol [max]OpenAI
Codex
73%±3%
05
claude-fable-5 [xhigh]Anthropic
Claude Code
70%±3%
Updated 3 Sep 2026 · 113 tasks · Higher is better
Source snapshot
Benchmark charts
Score
Tasks resolved
Cost / efficiency
Comparable figures reported by the publisher
Model access and apps
Available through
Model scores measure a specific task. They do not rank complete SaaS products.
gpt-6-astra [xhigh]OpenAI
Codex
gemini-3.8-flash [high]Google
Gemini CLI
claude-opus-5 [max]Anthropic
Claude Code
gpt-5.6-sol [max]OpenAI
Codex
claude-fable-5 [xhigh]Anthropic
Claude Code
See every source
2 sources
05LIVE
BigCodeBench
Practical coding task completion
Pass rateLibrary coverageModel capability
- Source
- BigCode project
- Checked
- 2025-02-04
08LIVE
DeepSWE
Long-horizon engineering task success
113 original tasks91 repositoriesConfidence intervals
- Source
- Datacurve
- Checked
- 2026-09-03
TapToMarket did not run these tools or benchmarks. We organize external evidence and state where it applies.