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MapikaInternLMDecision matchup

Decider 0.8Bvs.Intern-Decision-2B

Which model makes better decisions?

Decider 0.8B and Intern-Decision-2B perform about the same in independent tests.

Independent tests
Decider 0.8B0 of 1
Intern-Decision-2B0 of 1
Zero-shot IE benchmark
Popularity
Decider 0.8B39
Intern-Decision-2B37
out of 100
Weights and access
Decider 0.8Bopen, local
Intern-Decision-2Bopen, local
Size
Decider 0.8Bsmaller0.8 B
Intern-Decision-2B2 B
Parameters

Pick Decider 0.8B for

smaller

Pick Intern-Decision-2B for

No clear edge

Shared tests

Independent evaluators and leaderboards only, the newest shared snapshot per evaluator. With 95 % ranges a lead counts when they do not overlap; for hit rates, when it holds in a 95 % test. Without any uncertainty figure at most “slightly ahead”.

Zero-shot IE benchmark

level

Decider 0.8B is clearly ahead in 0 of 4 subtests, Intern-Decision-2B in none. 4 are level.

Zero-shot IE multilingual: rare-language tier accuracy

Decider 0.8B50.0 %
Intern-Decision-2B72.0 %

18 tasks, as of October 17, 2026

Zero-shot IE spectrum: mixed-pool classification accuracy

Decider 0.8B83.3
Intern-Decision-2B81.3

48 tasks, as of October 17, 2026

Zero-shot IE multilingual: medium-resource-language tier accuracy

Decider 0.8B100.0 %
Intern-Decision-2B100.0 %

18 tasks, as of October 17, 2026

Show all 4 subtests
SubtestDecider 0.8BIntern-Decision-2BVerdict
Zero-shot IE multilingual: rare-language tier accuracy50.0 %72.0 %level
Zero-shot IE spectrum: mixed-pool classification accuracy83.381.3level
Zero-shot IE multilingual: medium-resource-language tier accuracy100.0 %100.0 %level
Zero-shot IE multilingual: popular-language tier accuracy100.0 %100.0 %level

Source · latest October 17, 2026

All data side by side

Decider 0.8BIntern-Decision-2B
KindStandaloneStandalone
DeveloperMapikaInternLM
StatusOpen sourceOpen source
Weightsopenopen
Runs locallyyesyes
Parameters0.8 B2 B
LicenseApache-2.0Apache-2.0 with the Qwen notices retained
Popularity (out of 100)3937