UI-TARS 7B vs MiniMax-01
UI-TARS 7B costs 5.5x less per output token than MiniMax-01 ($0.20 vs $1.10 per million). Updated October 22, 2026; 1 benchmarks have a result for both.
UI-TARS 7B or MiniMax-01: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick UI-TARS 7B for output tokens 5.5x cheaper ($0.20 vs $1.10 per million) and work measured by Kagi LLM Benchmark, where it leads.
- Shared results
- 1
- UI-TARS 7B only
- 0
- MiniMax-01 only
- 0
- Like-for-like categories
- 1 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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
MiniMax-01
MiniMax-01 takes 1M tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
UI-TARS 7B
UI-TARS 7B $0.0002, MiniMax-01 $0.0008 per turn.
List prices
At a glance
- Coding index
- UI-TARS 7B not benchmarked, MiniMax-01 not benchmarked.
- Widest category
- Reasoning, 21.8 points apart on average over 1 shared benchmark.
- Widest single gap
- Kagi LLM Benchmark: UI-TARS 7B 20.7% against MiniMax-01 42.5%, 21.8 points apart on a 0 to 100 scale.
- Output price
- UI-TARS 7B $0.20 against MiniMax-01 $1.10 per million output tokens, 5.5x apart.
- Context window
- UI-TARS 7B takes 128K tokens, MiniMax-01 1M.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | UI-TARS 7B | Bars | MiniMax-01 | Ties |
|---|---|---|---|---|
| Reasoning | 0 | 1 | ||
| All shared boards | 0 | 1 |
CodingNot comparableSix of these boards feed the Vibe Coding Index0 boards, none shared
| Benchmark | UI-TARS 7B | MiniMax-01 | Leader |
|---|---|---|---|
| Neither model has a result on 43 boards here | |||
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | UI-TARS 7B | MiniMax-01 | Leader |
|---|---|---|---|
| Neither model has a result on 2 boards here | |||
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | UI-TARS 7B | MiniMax-01 | Leader |
|---|---|---|---|
| Neither model has a result on 42 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | UI-TARS 7B | MiniMax-01 | Leader |
|---|---|---|---|
| Kagi LLM Benchmark | 20.7% | 42.5% | MiniMax-01 |
| Neither model has a result on the other 22 boards here | |||
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | UI-TARS 7B | MiniMax-01 | Leader |
|---|---|---|---|
| Neither model has a result on 14 boards here | |||
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | UI-TARS 7B | MiniMax-01 | Leader |
|---|---|---|---|
| Neither model has a result on 20 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | UI-TARS 7B | MiniMax-01 | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | UI-TARS 7B | MiniMax-01 | Leader |
|---|---|---|---|
| Neither model has a result on 48 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | UI-TARS 7B | MiniMax-01 | Leader |
|---|---|---|---|
| Neither model has a result on 5 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 | ByteDance UI-TARS 7B | MiniMax-01 |
|---|---|---|
| Maker | ByteDance | MiniMax |
| Weights | Open weights | Open weights |
| Released | July 22, 2025 | January 15, 2025 |
| Context window | 128K | 1M |
| Input $/Mtok | $0.10 | $0.20 |
| Output $/Mtok | $0.20 | $1.10 |
| 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 UI-TARS 7B better than MiniMax-01 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick UI-TARS 7B for output tokens 5.5x cheaper ($0.20 vs $1.10 per million) and work measured by Kagi LLM Benchmark, where it leads.
Which is cheaper, UI-TARS 7B or MiniMax-01?
UI-TARS 7B costs $0.10 per million input tokens and $0.20 per million output tokens; MiniMax-01 costs $0.20 and $1.10. Cost per solved task is known for neither of them.
Which has the bigger context window, UI-TARS 7B or MiniMax-01?
MiniMax-01, with 1M tokens against 128K.
How many benchmarks is the UI-TARS 7B vs MiniMax-01 comparison based on?
1 benchmarks have a result for both models as of October 22, 2026. UI-TARS 7B's coding index rests on 0 independent benchmarks and MiniMax-01's on 0. Where only one model has a result, the page says so instead of naming a winner.