Magnum v4 72B vs UI-TARS 7B
UI-TARS 7B costs 25.0x less per output token than Magnum v4 72B ($0.20 vs $5.00 per million). Updated October 23, 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
- $0.20
Magnum v4 72B or UI-TARS 7B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
No benchmark has tested both yet. Magnum v4 72B has none yet; UI-TARS 7B on Kagi LLM Benchmark. 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
Long documents
Listed context window
UI-TARS 7B
UI-TARS 7B takes 128K tokens against 33K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
UI-TARS 7B
Magnum v4 72B $0.0050, UI-TARS 7B $0.0002 per turn.
List prices
At a glance
- Coding index
- Magnum v4 72B not benchmarked, UI-TARS 7B 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 UI-TARS 7B $0.20 per million output tokens, 25.0x apart.
- Context window
- Magnum v4 72B takes 33K tokens, UI-TARS 7B 128K.
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.
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Magnum v4 72B | UI-TARS 7B | Leader |
|---|---|---|---|
| Kagi LLM Benchmark | Not measured | 20.7% | Only UI-TARS 7B measured |
| Neither model has a result on the other 22 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
UI-TARS 7B costs less
Repository review
50K input + 3K output tokens
UI-TARS 7B costs less
Agent loop
200K input + 10K output tokens
UI-TARS 7B 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 | ByteDance UI-TARS 7B |
|---|---|---|
| Maker | Anthracite | ByteDance |
| Weights | Open weights | Open weights |
| Released | October 22, 2024 | July 22, 2025 |
| Context window | 33K | 128K |
| Input $/Mtok | $2.50 | $0.10 |
| Output $/Mtok | $5.00 | $0.20 |
| 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 UI-TARS 7B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Magnum v4 72B or UI-TARS 7B?
Magnum v4 72B costs $2.50 per million input tokens and $5.00 per million output tokens; UI-TARS 7B costs $0.10 and $0.20. Cost per solved task is known for neither of them.
Which has the bigger context window, Magnum v4 72B or UI-TARS 7B?
UI-TARS 7B, with 128K tokens against 33K.
Has any benchmark tested both Magnum v4 72B and UI-TARS 7B?
No benchmark has tested both yet. Magnum v4 72B has none yet; UI-TARS 7B on Kagi LLM Benchmark. Compare them on price and context instead. Data as of October 23, 2026.