Compare · ModelsLive · 2 picked · head to head
GPT-4 Turbo vs Yi 6B
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-4 Turbo wins on 7/7 benchmarks
GPT-4 Turbo wins 7 of 7 shared benchmarks. Leads in reasoning · knowledge · math.
Category leads
reasoning·GPT-4 Turboknowledge·GPT-4 Turbomath·GPT-4 Turbo
Hype vs Reality
Attention vs performance
GPT-4 Turbo
#197 by perf·no signal
Yi 6B
#257 by perf·no signal
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
U
Unknown
private · undisclosed
Head to head
7 benchmarks · 2 models
GPT-4 TurboYi 6B
BBH
GPT-4 Turbo leads by +37.2
BIG-Bench Hard · a curated subset of 23 challenging tasks from BIG-Bench where language models previously failed to outperform average humans.
GPT-4 Turbo
66.8
Yi 6B
29.6
GPQA diamond
GPT-4 Turbo leads by +7.5
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
GPT-4 Turbo
7.5
Yi 6B
0.0
GSM8K
GPT-4 Turbo leads by +45.1
Grade School Math 8K · 8,500 linguistically diverse grade-school math word problems that require multi-step reasoning to solve.
GPT-4 Turbo
90.0
Yi 6B
44.9
HellaSwag
GPT-4 Turbo leads by +27.9
HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios.
GPT-4 Turbo
93.7
Yi 6B
65.9
MATH level 5
GPT-4 Turbo leads by +17.8
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
GPT-4 Turbo
23.0
Yi 6B
5.2
MMLU
GPT-4 Turbo leads by +24.5
Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge.
GPT-4 Turbo
76.5
Yi 6B
52.0
Winogrande
GPT-4 Turbo leads by +32.4
WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs.
GPT-4 Turbo
75.0
Yi 6B
42.6
Full benchmark table
| Benchmark | GPT-4 Turbo | Yi 6B |
|---|---|---|
BBH BIG-Bench Hard · a curated subset of 23 challenging tasks from BIG-Bench where language models previously failed to outperform average humans. | 66.8 | 29.6 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 7.5 | 0.0 |
GSM8K Grade School Math 8K · 8,500 linguistically diverse grade-school math word problems that require multi-step reasoning to solve. | 90.0 | 44.9 |
HellaSwag HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios. | 93.7 | 65.9 |
MATH level 5 MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics. | 23.0 | 5.2 |
MMLU Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge. | 76.5 | 52.0 |
Winogrande WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs. | 75.0 | 42.6 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $10.00 | $30.00 | 128K tokens (~64 books) | $150.00 | |
U Yi 6B | — | — | — | — |