Qwen3.8 Max (unknown) · APEX-Agents · Pass@1 score · % ↗
Qwen / MODEL EVIDENCE
Qwen3.8 Max (unknown)
5 benchmarks · 6 observations · 5 sources · released 2026-08-02
Scores at a glance
5 benchmarks · large dot: Qwen3.8 Max (unknown); small dots: closest models where reported
Qwen3.8 Max (unknown) · CritPt · Accuracy · % ↗
Qwen3.8 Max (unknown) · ProofBench · Accuracy · % ↗
Qwen3.8 Max (unknown) · SciCode · Score · % ↗
1 more reported result
52.89% · Qwen3.8 Max (unknown) · SciCode · Score · % · Epoch AI · SciCode ↗
Qwen3.8 Max (unknown) · WebDev Arena · Elo ↗
Closest models by score
Similar positions on shared benchmark leaderboards. Smaller gaps are closer.
3 of 5 shared benchmark comparisons
3 of 5 shared benchmark comparisons
3 of 5 shared benchmark comparisons
How similarity is measured
Mean absolute gap in percentile positions on shared benchmark settings; lower is closer. At least 60% overlap is required, with a minimum of three when available. Independent evaluations are used when there are at least three; otherwise published report comparisons are used. Repeated model observations within one setting are averaged before ranking. Writing-style traits and composite indices are excluded. This describes similarity, not an overall quality ranking.
POST-TRAINING / SOURCE DISCLOSURE
What the Qwen3.8 Max / 2.4T-A95B report says
The official model card identifies 2.4T-A95B as post-trained and distinguishes its open weights from the Max service, which adds features. It documents the release and architecture without a reproducible optimization recipe.
- Post-trained open-weight checkpoint
- Separate Max service configuration
No named optimizer, reward mixture or stage-by-stage training schedule is specified in this card. The method links are background, not claims of adoption; open weights and the Max service remain separate model identities.
Sources
Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.
- Arena leaderboard — WebDev evaluation ↗
- SciCode Benchmark | Artificial Analysis ↗
- APEX-Agents ↗
- CritPt v1 ↗
- ProofBench — evaluation methodology and results ↗
Names used in source tables
Qwen3.8 Max (unknown)