MapikaInternLMDecision matchup
Decider 0.8Bvs.Intern-Decision-4B
Which model makes better decisions?
Intern-Decision-4B does better in independent tests, while Decider 0.8B is much smaller.
Pick Decider 0.8B for
Pick Intern-Decision-4B for
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
Intern-Decision-4B aheadIntern-Decision-4B is clearly ahead in 1 of 4 subtests, Decider 0.8B in none. 3 are level.
Zero-shot IE multilingual: rare-language tier accuracy
18 tasks, as of October 17, 2026
Zero-shot IE spectrum: mixed-pool classification accuracy
48 tasks, as of October 17, 2026
Zero-shot IE multilingual: medium-resource-language tier accuracy
18 tasks, as of October 17, 2026
Show all 4 subtests
| Subtest | Decider 0.8B | Intern-Decision-4B | Verdict |
|---|---|---|---|
| Zero-shot IE multilingual: rare-language tier accuracy | 50.0 % | 94.0 % | Intern-Decision-4B ahead |
| Zero-shot IE spectrum: mixed-pool classification accuracy | 83.3 | 85.4 | level |
| Zero-shot IE multilingual: medium-resource-language tier accuracy | 100.0 % | 100.0 % | level |
| Zero-shot IE multilingual: popular-language tier accuracy | 100.0 % | 100.0 % | level |
Source · latest October 17, 2026
All data side by side
| Decider 0.8B | Intern-Decision-4B | |
|---|---|---|
| Kind | Standalone | Standalone |
| Developer | Mapika | InternLM |
| Status | Open source | Open source |
| Weights | open | open |
| Runs locally | yes | yes |
| Parameters | 0.8 B | 4 B |
| License | Apache-2.0 | Apache-2.0 with the Qwen notices retained |
| Popularity (out of 100) | 39 | 40 |