Magnum v4 72B vs o3 Pro
Magnum v4 72B costs 16.0x less per output token than o3 Pro ($5.00 vs $80.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $5.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $80.00
Magnum v4 72B or o3 Pro: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Magnum v4 72B for output tokens 16.0x cheaper ($5.00 vs $80.00 per million).
No benchmark has tested both yet. Magnum v4 72B has none yet; o3 Pro on Aider polyglot, WeirdML and AA Intelligence Index. Compare them on price and context instead.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only o3 Pro has a AA Intelligence Index result, 21.9.
Directional only
Long documents
Listed context window
o3 Pro
o3 Pro takes 200K tokens against 33K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Magnum v4 72B
Magnum v4 72B $0.0050, o3 Pro $0.060 per turn.
List prices
At a glance
- Coding index
- Magnum v4 72B not benchmarked, o3 Pro not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Magnum v4 72B $5.00 against o3 Pro $80.00 per million output tokens, 16.0x apart.
- Context window
- Magnum v4 72B takes 33K tokens, o3 Pro 200K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index2 boards measured
| Benchmark | Magnum v4 72B | o3 Pro | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 84.9% | Only o3 Pro measured |
| WeirdML | Not measured | 58.2% | Only o3 Pro measured |
| Neither model has a result on the other 37 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Magnum v4 72B | o3 Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 21.9 | Only o3 Pro measured |
| Epoch Capabilities Index | Not measured | 147.3 | Only o3 Pro measured |
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Magnum v4 72B | o3 Pro | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 84.5% | Only o3 Pro measured |
| ARC-AGI | Not measured | 59.3% | Only o3 Pro measured |
| ARC-AGI-2 | Not measured | 4.9% | Only o3 Pro measured |
| Kagi LLM Benchmark | Not measured | 72.1% | Only o3 Pro measured |
| Neither model has a result on the other 18 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Magnum v4 72B | o3 Pro | Leader |
|---|---|---|---|
| DTBench | Not measured | 86.9% | Only o3 Pro measured |
| LMCA | Not measured | 38.5% | Only o3 Pro measured |
| Fiction.LiveBench | Not measured | 97.2% | Only o3 Pro measured |
| Creative writing (Lech Mazur) | Not measured | 84.4% | Only o3 Pro measured |
| Neither model has a result on the other 42 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Magnum v4 72B costs less
Repository review
50K input + 3K output tokens
Magnum v4 72B costs less
Agent loop
200K input + 10K output tokens
Magnum v4 72B costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Magnum v4 72B | OpenAI o3 Pro |
|---|---|---|
| Maker | Anthracite | OpenAI |
| Weights | Open weights | No public weights listed |
| Released | October 22, 2024 | June 10, 2025 |
| Context window | 33K | 200K |
| Input $/Mtok | $2.50 | $20.00 |
| Output $/Mtok | $5.00 | $80.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Magnum v4 72B better than o3 Pro for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Magnum v4 72B for output tokens 16.0x cheaper ($5.00 vs $80.00 per million).
Which is cheaper, Magnum v4 72B or o3 Pro?
Magnum v4 72B costs $2.50 per million input tokens and $5.00 per million output tokens; o3 Pro costs $20.00 and $80.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Magnum v4 72B or o3 Pro?
o3 Pro, with 200K tokens against 33K.
Has any benchmark tested both Magnum v4 72B and o3 Pro?
No benchmark has tested both yet. Magnum v4 72B has none yet; o3 Pro on Aider polyglot, WeirdML and AA Intelligence Index. Compare them on price and context instead. Data as of October 22, 2026.