Qwen3.8 2.4T-A95B benchmarks
Qwen3.8 2.4T-A95B has 2 published scores in this dataset, from a Alibaba (Qwen) release dated 2026-08-12. It does not yet have scores in enough categories to receive a composite index. Its strongest area is reasoning (index 97.3) and its weakest is coding (index 90.5). Its best placing is on GPQA Diamond, where its 93.5 ranks 6th of 19 models with a published score.
Category profile
Index 0–100: each score relative to the best published score on that test.
Model facts
- Lab
- Alibaba (Qwen)
- Type
- Open weights
- Released
- 2026-08-12
- Parameters
- 2.4T total, 95B active (MoE)
- Context
- 262K (up to 1M)
- License
- Qwen3.8-Max license (custom)
Open checkpoint of Qwen3.8. Alibaba's hosted Qwen3.8-Max API scores differ and are not used here.
Qwen3.8 2.4T-A95B hardware requirements and cost
Even at 4-bit it needs about 1.7 TB (Multiple nodes (over 1.1 TB)), well beyond a home workstation, so most people run it on rented multi-GPU servers. Full BF16 precision needs about 5.5 TB (Multiple nodes (over 1.1 TB)).
| Precision | Weights | With headroom | Smallest setup |
|---|---|---|---|
| BF16 (full precision) | 4.8 TB | 5.5 TB | Multiple nodes (over 1.1 TB) |
| FP8 / 8-bit | 2.4 TB | 2.8 TB | Multiple nodes (over 1.1 TB) |
| 4-bit (GGUF Q4_K_M) | 1.4 TB | 1.7 TB | Multiple nodes (over 1.1 TB) |
Estimate: parameters × bytes per parameter, plus 15% for the KV cache and runtime at modest context lengths. Long contexts and large batches need more.
Lighter or stronger open models
Open models ranked just above and below on the composite index, with their 4-bit memory needs.
- Nemotron 3 Ultra74.4379 GB
- Gemma 4 26B A4B72.917 GB
- gpt-oss-120b57.381 GB
Qwen3.8 2.4T-A95B speed and pricing
Measured figures link to their source; estimates are labelled.
- API output speed
- 41 tok/sOpenRouter median provider, last 30 min · OpenRouter model page provider stats
- Time to first token
- 1.61 sOpenRouter model page provider stats
- API price per 1M tokens
- $2.00 in · $6.00 outlab's own endpoint on OpenRouter · OpenRouter endpoints API
Score by test
Rank is among every model with a published score on that test.
Nearby in the composite ranking
Models with the closest composite index.
Head-to-head comparisons
Side-by-side pages built from the tests both models report.
No head-to-head page for Qwen3.8 2.4T-A95B yet. Compare it on the rankings dashboard.
Sources
| Model | Test | Score | Setting | Source |
|---|---|---|---|---|
| Qwen3.8 2.4T-A95B | GPQA Diamond | 93.5 | open checkpoint Qwen3.8-2.4T-A95B (xhigh); competitor comparison column | Meta Muse Spark Open model card (comparison column) |
| Qwen3.8 2.4T-A95B | Terminal-Bench | 82.0 | Terminal-Bench 2.1 (Terminus 2 agent), open checkpoint Qwen3.8-2.4T-A95B (xhigh); competitor comparison column | Meta Muse Spark Open model card (comparison column) |
Scores are published results from model cards, lab reports, and public leaderboards, each linked to its source. Settings such as thinking mode or test version differ between sources and are shown next to each score. OpenLLM Buddy catalog models are uncensored fine-tunes; their scores are those of the official base model. Data collected 2026-10-30. How the index works