anthracite · Open weights
Magnum v4 72B
Upgraded model of Magnum V2 72B. From the creators of Goliath. Aimed at top-tier prose quality, trained on 55 million tokens of curated roleplay data.
- PDF input
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $2.01
- Output
- $2.99
Reference prices as published by the model provider. API example
Specifications
- Context window
- 16.4K
- Max output
- 8.2K
- Average output (7 days)
- 111 tokens
- Longer than 10% of 468 models
Side by side
Magnum v4 72B compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Magnum v4 72BanthraciteThis model | Mixtral 8x22BMistralRemove | |
|---|---|---|
| Provider | anthracite | Mistral |
| Discovery tier | Open weights | Open weights |
| Added | Jan 1, 2024 | Dec 11, 2025 |
| Limits | ||
| Context window | 16.38K | 65.54KBest |
| Max output | 8.19K | 52.43KBest |
| Average output | 111 tokens | 292 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $2.01 | $2.00Best |
| Output | $2.99Best | $6.00 |
| Cache read | — | $0.20 |
| Performance | ||
| Request success (24h) | 99.8% | 100.0%Best |
| Benchmark indexes | ||
| Intelligence Index | — | 5.7 |
| Capabilities | ||
| PDF input | Yes | No |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Magnum v4 72B
- Mixtral 8x22B
Intelligence Index
- Magnum v4 72B—
- Mixtral 8x22B5.7
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Magnum v4 72B: —
- Mixtral 8x22B: 4.0%
GPQA Diamond
Graduate-level science questions
- Magnum v4 72B: —
- Mixtral 8x22B: 33.2%
MMLU-Pro
Multi-subject knowledge and reasoning
- Magnum v4 72B: —
- Mixtral 8x22B: 53.7%
Coding
LiveCodeBench
Recent competitive programming problems
- Magnum v4 72B: —
- Mixtral 8x22B: 14.8%
Math
AIME
Competition mathematics
- Magnum v4 72B: —
- Mixtral 8x22B: 0.0%
MATH-500
Competition math problems
- Magnum v4 72B: —
- Mixtral 8x22B: 54.5%
Scores from Artificial Analysis, updated Oct 26, 2026.
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Prompt cache hits
- 0.0%
- Request success (24h)
- 99.8%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "anthracite-org/magnum-v4-72b",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="anthracite-org/magnum-v4-72b",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)anthracite
Related models
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