Microsoft, released Apr 15, 2024
WizardLM 2 8x22Bprice, context, benchmarks and release details
- Input, per 1M tokens
- not yet reported
- Output, per 1M tokens
- not yet reported
- Context window
- 65.5Kmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Max output
- 8Kmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Released
- Apr 15, 2024models.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗
How this score is built
| Pillar | Score | Weight | Adds |
|---|---|---|---|
| Math | 25.7 | 33% of 15% | 8.6 |
| Reasoning | 43.4 | 67% of 30% | 29.0 |
| Coding | Not measured yet, left out | ||
| Preference | Not measured yet, left out | ||
| Average of measured pillars | 37.5 | ||
| Evidence check | 8.3 (2.0 of 6suites needed) | ||
| SI Score | 45.8 | ||
Measured suites (2)
Related tasks and editions share one suite weight in each pillar, and one reliability-weighted breadth contribution across the model.
- gpqa: 1.00 breadth; Reasoning 43.4 × 0.50. 1 result ID: gpqa-diamond
- math-level-5: 1.00 breadth; Math 25.7 × 1.00. 1 result ID: math-level-5
Missing pillars are left out and the remaining weights are rescaled, so nothing counts as a zero. With fewer than 6 weighted suites, the average is pulled toward 50 until more results arrive. Ranking needs at least three measured pillars. Full method
Method si-v5-suite-evidence-1, computed Oct 9, 2026, 18:16 UTC.
Around it on the leaderboard
- 1 Claude Opus 5.5 80.9
- 2 Claude Fable 5 79.9
- 3 Qwen3.8 Max 77.4
- 4 GPT-6.1 Sol 77.3
- 5 Claude Opus 5 76.9
Benchmark results
2 benchmarks, 2 resultsEach row shows the best published result. Where a model was tested at several settings, such as reasoning effort, open the row to see each one. Hover or tap a value for its source.
Open source ↗ 43.4
Open source ↗ 25.7
Normalization uses a fixed 0–100 scale for each unit, independent of other models. Compare evaluation conditions before reading a small gap as decisive. “Lab-reported” marks the provider's own published figure.
Details and sources
- Open weights
- Yesmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - License
- Apache-2.0models.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Input modalities
- textmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - First seen by SuperIndex
- Oct 9, 2026
- Coverage
- 100% of expected source weight
Reported (1)
- Epoch AI BenchmarkingOct 9, 2026
Awaiting (0)
Every expected source has reported for this model.
Confidence rises as pending sources publish. Some sources never cover some models, so confidence reaches 100% at 80% of expected weight.