vs
1:0
overall capability wins (1 ties across 2 scored). Yi-Large leads overall.
- Pricing0:3
- Speed0:2
- Specs1:0
Verdict
Yi-Large offers ~2.0x larger context (32K vs 16K); Yi Lightning is ~21.4x cheaper on a blended token basis than Yi-Large.
- Yi-Large offers ~2.0x larger context (32K vs 16K)
- Yi Lightning is ~21.4x cheaper on a blended token basis than Yi-Large
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Yi-Large
- $3.75
- Yi Lightning
- $0.18
Yi Lightning is about 21.4x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
01.AI
01.AI
Family
Yi
Yi
License
Proprietary
Proprietary
Open weights
No
No
Release
May 13, 2024
Jan 15, 2025
Knowledge cutoff
-
-
API / provider
01.AI
01.AI
Modalities
text → text
text → text
Specs
Context window
32K
16K
Max output
4K
4K
Parameters
—
—
Pricing
Input $/1M
$3
$0.14
Output $/1M
$3
$0.14
Blended $/1M (3∶1)
$3
$0.14
Speed
tok/s
55
200
TTFT (s)
0.5
0.15
Reasoning
MMLU-Pro
—
—
GPQA Diamond
—
—
Humanity's Last Exam
—
—
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
—
—
AA-LCR v1.1
—
—
CritPt
—
—
MMMU-Pro
—
—
IFBench
—
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
—
—
Aider Polyglot
—
12.9
Terminal-Bench 3
—
—
BigCodeBench
37.7
—
SciCode
—
—
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
1,328
| Metric | Yi-Large | Yi Lightning | Delta |
|---|---|---|---|
| Identity | |||
| Organization | 01.AI | 01.AI | — |
| Family | Yi | Yi | — |
| License | Proprietary | Proprietary | — |
| Open weights | No | No | — |
| Release | May 13, 2024 | Jan 15, 2025 | — |
| Knowledge cutoff | - | - | — |
| API / provider | 01.AI | 01.AI | — |
| Modalities | text → text | text → text | — |
| Specs | |||
| Context window | 32K | 16K | A +16K |
| Max output | 4K | 4K | tie |
| Parameters | — | — | — |
| Pricing | |||
| Input $/1M | $3 | $0.14 | B +$2.86 |
| Output $/1M | $3 | $0.14 | B +$2.86 |
| Blended $/1M (3∶1) | $3 | $0.14 | B +$2.86 |
| Speed | |||
| tok/s | 55 | 200 | B +145 |
| TTFT (s) | 0.5 | 0.15 | B +0.35 |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | — | — | — |
| Humanity's Last Exam | — | — | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | — | — | — |
| AA-LCR v1.1 | — | — | — |
| CritPt | — | — | — |
| MMMU-Pro | — | — | — |
| IFBench | — | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | — | — |
| Aider Polyglot | — | 12.9 | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | 37.7 | — | — |
| SciCode | — | — | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | 1,328 | — |
Yi-Large
- Context
- 32K / 4K out
- Parameters
- —
- Price
- $3 / $3
- Speed
- 55 tok/s · 0.5s TTFT
- Modalities
- text → text
- License
- Proprietary
01.AI flagship API model — strong bilingual Chinese/English chat before Yi-Lightning.
Yi Lightning
- Context
- 16K / 4K out
- Parameters
- —
- Price
- $0.14 / $0.14
- Speed
- 200 tok/s · 0.15s TTFT
- Modalities
- text → text
- License
- Proprietary
Ultra-cheap 01.AI chat model optimized for Chinese-market latency and price.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.
These two models have no overlapping published benchmarks in our dataset. Compare specs and pricing instead.