vs
0:2
overall capability wins (1 ties across 3 scored). Yi-Large leads overall.
- Coding0:1
- Pricing3:0
- Speed1:0
- Specs0:1
Verdict
Yi-Large leads coding (widest gap: +3.8 on BigCodeBench); Yi-Large offers ~2.0x larger context (32K vs 16K); Yi-1.5 34B Chat ships open weights (Apache 2.0).
- Yi-Large leads coding (widest gap: +3.8 on BigCodeBench)
- Yi-Large offers ~2.0x larger context (32K vs 16K)
- Yi-1.5 34B Chat ships open weights (Apache 2.0)
- Yi-1.5 34B Chat is ~6.0x cheaper on a blended token basis than Yi-Large
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Yi-1.5 34B Chat
- $0.63
- Yi-Large
- $3.75
Yi-1.5 34B Chat is about 6.0x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
01.AI
01.AI
Family
Yi
Yi
License
Apache 2.0
Proprietary
Open weights
Yes
No
Release
May 20, 2024
May 13, 2024
Knowledge cutoff
-
-
API / provider
01.AI
01.AI
Modalities
text → text
text → text
Specs
Context window
16K
32K
Max output
4K
4K
Parameters
34B
—
Pricing
Input $/1M
$0.50
$3
Output $/1M
$0.50
$3
Blended $/1M (3∶1)
$0.50
$3
Speed
tok/s
55
55
TTFT (s)
0.45
0.5
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
—
—
Terminal-Bench 3
—
—
BigCodeBench
33.9
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
1,213
—
| Metric | Yi-1.5 34B Chat | Yi-Large | Delta |
|---|---|---|---|
| Identity | |||
| Organization | 01.AI | 01.AI | — |
| Family | Yi | Yi | — |
| License | Apache 2.0 | Proprietary | — |
| Open weights | Yes | No | — |
| Release | May 20, 2024 | May 13, 2024 | — |
| Knowledge cutoff | - | - | — |
| API / provider | 01.AI | 01.AI | — |
| Modalities | text → text | text → text | — |
| Specs | |||
| Context window | 16K | 32K | B +16K |
| Max output | 4K | 4K | tie |
| Parameters | 34B | — | — |
| Pricing | |||
| Input $/1M | $0.50 | $3 | A +$2.50 |
| Output $/1M | $0.50 | $3 | A +$2.50 |
| Blended $/1M (3∶1) | $0.50 | $3 | A +$2.50 |
| Speed | |||
| tok/s | 55 | 55 | tie |
| TTFT (s) | 0.45 | 0.5 | A +0.05 |
| 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 | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | 33.9 | 37.7 | B +3.8 pts |
| SciCode | — | — | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | 1,213 | — | — |
Yi-1.5 34B Chat
- Context
- 16K / 4K out
- Parameters
- 34B
- Price
- $0.50 / $0.50
- Speed
- 55 tok/s · 0.45s TTFT
- Modalities
- text → text
- License
- Apache 2.0
Open Yi-1.5 34B chat — strong bilingual Chinese/English weights before Yi-Large / Lightning APIs.
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.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.