Model comparison
fp8_dynamic_moe-e2e vs o3
Capability radar, value bars, and side-by-side posture.
fp8_dynamic_moe-e2e
Not scored
value score
o3
93
value score
fp8_dynamic_moe-e2e ctx
—
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | fp8_dynamic_moe-e2e | o3 |
|---|---|---|
| Developer | NM Testing | OpenAI |
| Context | — | 200K |
| Modalities | Text, Code | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $10/1M in · $40/1M out |
| Value score | — | 93 |
| Summary | A test/development model artifact published under the nm-testing Hugging Face organization, providing an FP8-quantized mixture-of-experts (MoE) model for end-to-end inference and serving pipeline validation. It is oriented toward benchmarking and validating FP8 dynamic quantization workflows across model, runtime, and deployment layers rather than serving as a production-facing model release. | OpenAI reasoning model focused on hard problems. |