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How many bananas can I buy for $10?

Overview

31-45 27.5% 32 of 91 models agree
31-45 28%
16-30 27%
0-15 10%
refusal 18%
31-45 · 27.5%
16-30 · 26.7%
0-15 · 10.4%
46-60 · 8.3%
61-100 · 1.2%
other · 5.5%
hedge · 2.7%
refusal · 17.7%

By country of origin

Each country averages the models of the companies headquartered there, one vote per model.
United States
54 models
31-45 27%
16-30 30%
0-15 11%
refusal 18%
China
29 models
31-45 34%
16-30 20%
46-60 15%
refusal 17%
France
4 models
16-30 29%
0-15 32%
46-60 12%
refusal 16%
South Korea
4 models
16-30 28%
0-15 38%
hedge 10%
refusal 13%

By company

Each company averages its own models, one vote per model.
OpenAI
13 models
31-45 23%
16-30 23%
0-15 18%
refusal 26%
Anthropic
11 models
31-45 40%
16-30 26%
refusal 13%
Google
8 models
31-45 36%
16-30 27%
refusal 26%
Qwen
6 models
31-45 39%
46-60 33%
refusal 18%
Z.ai
6 models
31-45 23%
46-60 17%
other 34%
refusal 13%
MiniMax
5 models
31-45 22%
16-30 46%
46-60 10%
refusal 12%
MoonshotAI
5 models
31-45 68%
16-30 13%
refusal 11%
DeepSeek
4 models
31-45 11%
16-30 12%
other 12%
refusal 51%
Mistral
4 models
16-30 29%
0-15 32%
46-60 12%
refusal 16%
Upstage
4 models
16-30 28%
0-15 38%
hedge 10%
refusal 13%
xAI
4 models
31-45 20%
16-30 30%
46-60 13%
refusal 24%
Cloudflare
3 models
31-45 10%
16-30 57%
0-15 33%
Inception
3 models
31-45 43%
16-30 20%
refusal 17%
+ 11 with fewer than 3 models
Liquid AI
2 models
31-45 20%
16-30 25%
0-15 15%
refusal 30%
Meta
2 models
31-45 35%
16-30 60%
NVIDIA
2 models
16-30 19%
46-60 19%
other 20%
hedge 15%
refusal 19%
TypeSafe
2 models
16-30 70%
0-15 30%
IBM
1 model
16-30 50%
refusal 50%
Jared Palmer
1 model
31-45 50%
16-30 10%
0-15 20%
46-60 20%
Microsoft
1 model
16-30 60%
0-15 40%
StepFun
1 model
31-45 14%
16-30 71%
46-60 14%
Tencent
1 model
31-45 33%
16-30 25%
0-15 33%
ThinkingMachines
1 model
31-45 40%
16-30 10%
46-60 15%
61-100 10%
hedge 20%
Xiaomi
1 model
31-45 64%
16-30 27%

By model release quarter

Each quarter averages only the models released in that quarter. 1 model excluded (no release date on record).
0%50%100% 31-4516-300-15 Q3 2024n=1 Q2 2025n=3 Q3 n=3 Q4 n=5 Q1 2026n=18 Q2 n=23 Q3 n=20 Q4 n=17 2024 Q3 · 1 model 16-30: 67% refusal: 33% 2025 Q2 · 3 models 16-30: 21% 0-15: 26% 46-60: 2% other: 4% refusal: 47% 2025 Q3 · 3 models 31-45: 5% 16-30: 26% 0-15: 13% 46-60: 2% 61-100: 2% other: 3% refusal: 48% 2025 Q4 · 5 models 31-45: 15% 16-30: 34% 0-15: 10% 46-60: 6% other: 21% refusal: 13% 2026 Q1 · 18 models 31-45: 27% 16-30: 22% 0-15: 14% 46-60: 9% 61-100: 2% other: 6% hedge: 2% refusal: 18% 2026 Q2 · 23 models 31-45: 28% 16-30: 27% 0-15: 1% 46-60: 12% 61-100: 1% other: 4% hedge: 2% refusal: 25% 2026 Q3 · 20 models 31-45: 41% 16-30: 23% 0-15: 11% 46-60: 8% 61-100: 1% other: 2% hedge: 3% refusal: 11% 2026 Q4 · 17 models 31-45: 25% 16-30: 32% 0-15: 16% 46-60: 6% 61-100: 1% other: 7% hedge: 6% refusal: 6%
31-45
16-30
0-15
46-60
61-100
other
hedge
refusal
+ Show data
Quarter Models 31-4516-300-1546-6061-100otherhedgerefusal
2024 Q3 1 0%67%0%0%0%0%0%33%
2025 Q2 3 0%21%26%2%0%4%0%47%
2025 Q3 3 5%26%13%2%2%3%0%48%
2025 Q4 5 15%34%10%6%0%21%0%13%
2026 Q1 18 27%22%14%9%2%6%2%18%
2026 Q2 23 28%27%1%12%1%4%2%25%
2026 Q3 20 41%23%11%8%1%2%3%11%
2026 Q4 17 25%32%16%6%1%7%6%6%

Author's note

Tests grounded real-world price intuition rather than opinion — is the model's sense of everyday costs realistic? (Actual US grocery prices put this around 40-60 bananas.)

User message(s)

How many bananas can I buy for $10?
+ 2 more prompts
If I have $10 to spend, how many bananas could I buy?
Roughly how many bananas would $10 get me?

91 models

Anthropic

anthropic/claude-haiku-5.5 (10 runs) · consistency 25

31-45 30%
16-30 10%
46-60 10%
hedge 50%
+ 10 responses

anthropic/claude-sonnet-5.5 (10 runs) · consistency 44.4

31-45 60%
16-30 40%
+ 10 responses

anthropic/claude-opus-5.5 (10 runs) · consistency 77.8

31-45 90%
46-60 10%
+ 10 responses

anthropic/claude-opus-5 (20 runs) · consistency 36.1

31-45 70%
46-60 25%
+ 20 responses

anthropic/claude-sonnet-5 (19 runs) · consistency 77.8

16-30 79%
refusal 16%
+ 19 responses

anthropic/claude-opus-4.8 (5 runs)

31-45 60%
16-30 20%
refusal 20%
+ 5 responses

anthropic/claude-opus-4.7 (20 runs) · consistency 50

31-45 45%
16-30 50%
+ 20 responses

anthropic/claude-sonnet-4.6 (20 runs) · consistency 13.9

31-45 15%
16-30 25%
0-15 25%
refusal 30%
+ 20 responses

anthropic/claude-opus-4.6 (15 runs) · consistency 50

31-45 67%
61-100 33%
+ 15 responses

anthropic/claude-haiku-4.5 (18 runs) · consistency 44.4

16-30 61%
0-15 39%
+ 18 responses

anthropic/claude-sonnet-4.5 (8 runs)

0-15 25%
refusal 75%
+ 8 responses

Cloudflare

cloudflare/clef-omni (10 runs) · consistency 50

16-30 30%
0-15 70%
+ 10 responses

cloudflare/clef (10 runs) · consistency 50

31-45 30%
16-30 70%
+ 10 responses

cloudflare/clef-flash (10 runs) · consistency 50

16-30 70%
0-15 30%
+ 10 responses

DeepSeek

deepseek/deepseek-v4.1-flash-1017 (10 runs) · consistency 22.2

31-45 20%
46-60 10%
other 40%
hedge 30%
+ 10 responses

deepseek/deepseek-v4-flash (13 runs) · consistency 36.1

31-45 23%
16-30 23%
refusal 46%
+ 13 responses

deepseek/deepseek-v4-pro (1 runs)

refusal 100%
+ 1 response

deepseek/deepseek-v3.2 (16 runs) · consistency 50

16-30 25%
0-15 13%
refusal 56%
+ 16 responses

Google

google/gemini-4-argon (10 runs) · consistency 61.1

31-45 80%
46-60 20%
+ 10 responses

google/gemini-3.5-flash (15 runs) · consistency 77.8

31-45 80%
16-30 13%
+ 15 responses

google/gemini-3.1-flash-lite (20 runs) · consistency 33.3

31-45 45%
16-30 45%
+ 20 responses

google/gemma-4-26b-a4b-it (13 runs) · consistency 27.8

31-45 23%
16-30 31%
refusal 46%
+ 13 responses

google/gemma-4-31b-it (17 runs) · consistency 44.4

16-30 35%
refusal 59%
+ 17 responses

google/gemini-3-flash-preview (15 runs) · consistency 27.8

31-45 47%
16-30 33%
46-60 20%
+ 15 responses

google/gemini-2.5-flash-lite (20 runs) · consistency 13.9

31-45 10%
16-30 35%
0-15 15%
other 10%
refusal 20%
+ 20 responses

google/gemini-2.5-flash (5 runs)

16-30 20%
refusal 80%
+ 5 responses

IBM

ibm-granite/granite-4.1-8b (20 runs) · consistency 44.4

16-30 50%
refusal 50%
+ 20 responses

Inception

inception/mercury-decide (10 runs) · consistency 13.9

31-45 20%
16-30 40%
0-15 10%
46-60 10%
61-100 20%
+ 10 responses

inception/mercury-2.5 (10 runs) · consistency 61.1

31-45 70%
16-30 20%
refusal 10%
+ 10 responses

inception/mercury-2 (10 runs) · consistency 25

31-45 40%
other 10%
hedge 10%
refusal 40%
+ 10 responses

Jared Palmer

jaredpalmer/kev-4b (10 runs) · consistency 30.6

31-45 50%
16-30 10%
0-15 20%
46-60 20%
+ 10 responses

Liquid AI

liquid/lfm-2.5-24b-a2b (10 runs) · consistency 36.1

16-30 30%
hedge 10%
refusal 60%
+ 10 responses

liquid/d1 (10 runs) · consistency 22.2

31-45 40%
16-30 20%
0-15 30%
61-100 10%
+ 10 responses

Meta

meta/muse-spark-open (10 runs) · consistency 50

31-45 70%
16-30 30%
+ 10 responses

meta/muse-wonder (10 runs) · consistency 100

16-30 90%
other 10%
+ 10 responses

Microsoft

microsoft/microsoft-decision-1 (10 runs) · consistency 50

16-30 60%
0-15 40%
+ 10 responses

MiniMax

minimax/minimax-m3.1-flash (10 runs) · consistency 25

31-45 30%
16-30 40%
other 10%
hedge 20%
+ 10 responses

minimax/minimax-m3 (13 runs) · consistency 19.4

31-45 15%
16-30 38%
refusal 23%
+ 13 responses

minimax/minimax-m2.7 (11 runs) · consistency 27.8

31-45 36%
16-30 36%
refusal 27%
+ 11 responses

minimax/minimax-m2.5 (3 runs)

16-30 67%
46-60 33%
+ 3 responses

minimax/minimax-m2.1 (10 runs) · consistency 30.6

31-45 30%
16-30 50%
46-60 10%
refusal 10%
+ 10 responses

Mistral

mistralai/mistral-large-4-0 (10 runs) · consistency 19.4

31-45 30%
46-60 40%
other 20%
refusal 10%
+ 10 responses

mistralai/mistral-small-2603 (20 runs) · consistency 44.4

16-30 10%
0-15 70%
refusal 20%
+ 20 responses

mistralai/mistral-small-3.2-24b-instruct (16 runs) · consistency 44.4

16-30 38%
0-15 56%
+ 16 responses

mistralai/mistral-nemo (3 runs)

16-30 67%
refusal 33%
+ 3 responses

MoonshotAI

moonshotai/kimi-k3.1-pro (10 runs) · consistency 100

31-45 100%
+ 10 responses

moonshotai/kimi-k3 (20 runs) · consistency 61.1

31-45 75%
46-60 15%
+ 20 responses

moonshotai/kimi-k2.7-code (12 runs) · consistency 33.3

31-45 50%
16-30 17%
refusal 25%
+ 12 responses

moonshotai/kimi-k2.6 (9 runs) · consistency 30.6

31-45 56%
16-30 22%
46-60 11%
refusal 11%
+ 9 responses

moonshotai/kimi-k2.5 (5 runs)

31-45 60%
16-30 20%
refusal 20%
+ 5 responses

NVIDIA

nvidia/nemotron-3.5-super-vl (10 runs) · consistency 25

46-60 30%
other 40%
refusal 30%
+ 10 responses

nvidia/nemotron-3-ultra-550b-a55b (13 runs) · consistency 19.4

16-30 38%
hedge 31%
+ 13 responses

OpenAI

openai/gpt-6-luna-decisions (10 runs) · consistency 100

0-15 100%
+ 10 responses

openai/gpt-6.1-sol (10 runs) · consistency 50

31-45 30%
16-30 70%
+ 10 responses

openai/gpt-6-luna (10 runs) · consistency 33.3

31-45 50%
16-30 10%
refusal 40%
+ 10 responses

openai/gpt-6-sol (10 runs) · consistency 36.1

31-45 50%
16-30 40%
refusal 10%
+ 10 responses

openai/gpt-5.6-luna (6 runs)

31-45 50%
16-30 17%
refusal 33%
+ 6 responses

openai/gpt-5.6-sol (13 runs) · consistency 44.4

31-45 62%
other 15%
refusal 15%
+ 13 responses

openai/gpt-5.6-terra (17 runs) · consistency 19.4

31-45 12%
46-60 18%
refusal 53%
+ 17 responses

openai/gpt-5.5 (12 runs) · consistency 13.9

31-45 17%
16-30 17%
other 25%
refusal 25%
+ 12 responses

openai/gpt-5.4-mini (18 runs) · consistency 25

16-30 28%
0-15 22%
other 11%
refusal 39%
+ 18 responses

openai/gpt-5.4-nano (19 runs) · consistency 25

16-30 32%
0-15 16%
refusal 47%
+ 19 responses

openai/gpt-5.4 (15 runs) · consistency 44.4

16-30 33%
0-15 67%
+ 15 responses

openai/gpt-5.3-chat (11 runs) · consistency 22.2

31-45 27%
16-30 36%
other 18%
refusal 18%
+ 11 responses

openai/gpt-4.1-mini (18 runs) · consistency 44.4

0-15 22%
other 11%
refusal 61%
+ 18 responses

Qwen

qwen/qwen3.7-max (12 runs) · consistency 50

31-45 42%
46-60 50%
+ 12 responses

qwen/qwen3.6-flash (15 runs) · consistency 50

31-45 33%
refusal 60%
+ 15 responses

qwen/qwen3.6-max-preview (2 runs)

46-60 100%
+ 2 responses

qwen/qwen3.5-122b-a10b (2 runs)

31-45 50%
46-60 50%
+ 2 responses

qwen/qwen3.5-flash-02-23 (2 runs)

31-45 100%
+ 2 responses

qwen/qwen3-235b-a22b-2507 (16 runs) · consistency 36.1

16-30 44%
refusal 50%
+ 16 responses

StepFun

stepfun/step-3.7-flash (7 runs)

31-45 14%
16-30 71%
46-60 14%
+ 7 responses

Tencent

tencent/hy3:free (12 runs) · consistency 19.4

31-45 33%
16-30 25%
0-15 33%
+ 12 responses

ThinkingMachines

thinkingmachines/inkling (20 runs) · consistency 22.2

31-45 40%
16-30 10%
46-60 15%
61-100 10%
hedge 20%
+ 20 responses

TypeSafe

typesafe/jev-1.14 (10 runs) · consistency 100

16-30 100%
+ 10 responses

typesafe/jev-1.13 (10 runs) · consistency 44.4

16-30 40%
0-15 60%
+ 10 responses

Upstage

upstage/solar-decide (10 runs) · consistency 100

0-15 100%
+ 10 responses

upstage/solar-mini4 (10 runs) · consistency 30.6

31-45 10%
16-30 60%
0-15 20%
hedge 10%
+ 10 responses

upstage/solar-pro4 (10 runs) · consistency 16.7

16-30 30%
other 20%
hedge 20%
refusal 30%
+ 10 responses

upstage/solar-pro-3 (10 runs) · consistency 8.3

31-45 10%
16-30 20%
0-15 30%
other 10%
hedge 10%
refusal 20%
+ 10 responses

xAI

x-ai/grok-4.7 (10 runs) · consistency 33.3

31-45 50%
16-30 20%
refusal 30%
+ 10 responses

x-ai/grok-4.5 (13 runs) · consistency 27.8

31-45 31%
16-30 31%
46-60 38%
+ 13 responses

x-ai/grok-4.3 (9 runs) · consistency 44.4

61-100 11%
other 22%
refusal 67%
+ 9 responses

x-ai/grok-4.20 (13 runs) · consistency 58.3

16-30 69%
0-15 15%
46-60 15%
+ 13 responses

Xiaomi

xiaomi/mimo-v2.5-pro (11 runs) · consistency 36.1

31-45 64%
16-30 27%
+ 11 responses

Z.ai

z-ai/glm-5.2 (6 runs)

31-45 33%
16-30 17%
46-60 17%
other 17%
refusal 17%
+ 6 responses

z-ai/glm-5.1 (13 runs) · consistency 16.7

31-45 31%
16-30 15%
46-60 15%
61-100 15%
other 23%
+ 13 responses

z-ai/glm-5-turbo (6 runs)

31-45 17%
46-60 17%
other 67%
+ 6 responses

z-ai/glm-5 (15 runs) · consistency 44.4

31-45 20%
16-30 27%
46-60 53%
+ 15 responses

z-ai/glm-4.7-flash (5 runs)

31-45 40%
refusal 60%
+ 5 responses

z-ai/glm-4.7 (1 runs)

other 100%
+ 1 response