⏱ Capsule Public Coding
Token Precision Test
Ezarwebmaster· Jul 3, 2026
Brief
## Why This Capsule Exists
Most benchmarks measure what a model *can* generate. This capsule measures the opposite: whether a model can **generate nothing more and nothing less than what was asked**. No creativity, no reasoning, no ambiguity — just strict format compliance on the simplest possible content (an alphabet every model already "knows" perfectly). Any deviation is a pure instruction-following failure, not a knowledge or capability gap.
## What This Tests
| Constraint | Capability Probed |
|---|---|
| Exactly 26 letters, a through z | Basic enumeration accuracy (no missing/duplicate/reordered letters) |
| Comma-separated, no spaces | Precise formatting compliance down to whitespace |
| No line breaks | Single-line output discipline |
| No explanation | Resistance to the model's default "helpful assistant" chattiness |
| No markdown formatting | Suppressing default stylistic habits (bold, code blocks, lists) |
| "Nothing before or after" | Total instruction obedience — no preamble, no sign-off, no meta-commentary |
## Expected Results
- **This is the closest thing to a "should be 100%" capsule** — the content itself requires zero knowledge or reasoning. Any failure is purely about instruction-following, not capability.
- **The most common failure mode is not wrong content, it's wrong wrapper**: models adding a preamble ("Sure, here's the alphabet:"), wrapping the output in a code block, or appending a closing remark ("Let me know if you need anything else!") despite explicit instructions not to.
- **A secondary failure mode is subtle format drift**: a stray space after a comma, a trailing comma, or a trailing newline — easy to miss visually but a clean pass/fail for automated grading.
- **This capsule is a strong regression indicator over time**: if a model family becomes "chattier" or more safety-hedged in later versions, this is one of the fastest capsules to catch it, since the correct answer never changes and there is no legitimate reason to add anything extra.
## How to Read a Run
Grading is binary per sub-check, not subjective — this capsule is designed to be gradable programmatically (exact string match against the expected output), unlike most capsules in the set. Any output that isn't byte-for-byte `a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z` fails at least one criterion below.
### Scoring Checklist
- [ ] Contains all 26 letters, each exactly once
- [ ] Letters are in correct a–z order
- [ ] Comma-separated with no spaces
- [ ] Single line, no line breaks
- [ ] No explanatory text before or after
- [ ] No markdown formatting (no code block, no bold, no list)
Locked Reference Prompt
IMMUTABLEScientific timeline lock active
Output only the 26 lowercase letters of the English alphabet, comma-separated, no spaces, no line breaks, no explanation, no markdown formatting, nothing before or after. Example format: a,b,c,d
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Timeline (15 runs)
Run Activity
15 runs in the last 6 months
Jan
Feb
Mar
Apr
May
Jun
Jul
LessMore
Cost vs Speed
size = output tokens · top-left is best
size = tokens
value frontier — no model is faster & cheaper Capsule Stats
Runs
15
Total cost
$0.0340
Tokens
3k
Avg latency
1.77 s
Models
15
Web Searches
0
Fastest
x-ai/grok-4.3-20260430698 ms
x-ai/grok-4.3-20260430698 ms Cheapest
deepseek/deepseek-v4-flash-20260423$0.000029
deepseek/deepseek-v4-flash-20260423$0.000029 Top provider
Anthropic×4
Anthropic×4 2k reasoning last 9d ago
Tip: Select 2 or more runs via their "Compare" buttons — or filter by company below and compare them all at once — then open the Compare Studio: verdicts, benchmark bars, charts, side-by-side reading and response diff.
⏱
Benchmark Run — Jul 3, 2026 Latest
Z Aiglm-5.2-20260616
stop
Latency
5.44 s
client → response
Input Tokens
53
prompt tokens
Output
225
generated
Total Tokens
278
in + out
Billed Cost
$0.0007
OR Credits
Reasoning
197
thinking tokens
Model Output
a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z
Researcher Notes
⏱
Benchmark Run — Jul 3, 2026
Bytedance Seedseed-1.6-20250625
stop
Latency
1.57 s
client → response
Input Tokens
124
prompt tokens
Output
160
generated
Total Tokens
284
in + out
Billed Cost
$0.0004
OR Credits
Reasoning
134
thinking tokens
Model Output
a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z
Researcher Notes
⏱
Benchmark Run — Jul 3, 2026

xAI (Grok)grok-4.3-20260430
stop
Latency
698 ms
client → response
Input Tokens
171
prompt tokens
Output
293
generated
Total Tokens
464
in + out
Billed Cost
$0.0008
OR Credits
Reasoning
267
thinking tokens
Model Output
a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z
Researcher Notes
⏱
Benchmark Run — Jul 3, 2026

MiniMaxminimax-m3-20260531
stop
Latency
1.13 s
client → response
Input Tokens
168
prompt tokens
Output
69
generated
Total Tokens
237
in + out
Billed Cost
$0.0001
OR Credits
Reasoning
40
thinking tokens
Model Output
a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z
Researcher Notes
⏱
Benchmark Run — Jul 3, 2026

Qwen (Alibaba)qwen3.7-max-20260520
stop
Latency
1.53 s
client → response
Input Tokens
52
prompt tokens
Output
655
generated
Total Tokens
707
in + out
Billed Cost
$0.0025
OR Credits
Reasoning
624
thinking tokens
Model Output
a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z
Researcher Notes
⏱
Benchmark Run — Jul 3, 2026

AI21 Labsjamba-large-1.7
stop
Latency
766 ms
client → response
Input Tokens
59
prompt tokens
Output
53
generated
Total Tokens
112
in + out
Billed Cost
$0.0005
OR Credits
Reasoning
—
thinking tokens
Model Output
a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z
Researcher Notes
⏱
Benchmark Run — Jul 3, 2026

DeepSeekdeepseek-v4-flash-20260423
stop
Latency
1.24 s
client → response
Input Tokens
48
prompt tokens
Output
80
generated
Total Tokens
128
in + out
Billed Cost
$0.000029
OR Credits
Reasoning
36
thinking tokens
Model Output
a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z
Researcher Notes
⏱
Benchmark Run — Jul 3, 2026

DeepSeekdeepseek-v4-pro-20260423
stop
Latency
860 ms
client → response
Input Tokens
48
prompt tokens
Output
28
generated
Total Tokens
76
in + out
Billed Cost
$0.0001
OR Credits
Reasoning
—
thinking tokens
Model Output
a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z
Researcher Notes
⏱
Benchmark Run — Jul 3, 2026

Anthropicclaude-4.8-opus-20260528
stop
Latency
1.29 s
client → response
Input Tokens
75
prompt tokens
Output
53
generated
Total Tokens
128
in + out
Billed Cost
$0.0017
OR Credits
Reasoning
—
thinking tokens
Model Output
a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z
Researcher Notes
⏱
Benchmark Run — Jul 3, 2026

OpenAIgpt-5.5-pro-20260423
stop
Latency
1.50 s
client → response
Input Tokens
47
prompt tokens
Output
77
generated
Total Tokens
124
in + out
Billed Cost
$0.0153
OR Credits
Reasoning
45
thinking tokens
Model Output
a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z
Researcher Notes
⏱
Benchmark Run — Jul 3, 2026

Anthropicclaude-sonnet-5-20260630
stop
Latency
1.55 s
client → response
Input Tokens
75
prompt tokens
Output
53
generated
Total Tokens
128
in + out
Billed Cost
$0.0007
OR Credits
Reasoning
—
thinking tokens
Model Output
a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z
Researcher Notes
⏱
Benchmark Run — Jul 3, 2026

Anthropicclaude-5-fable-20260609
stop
Latency
2.80 s
client → response
Input Tokens
75
prompt tokens
Output
59
generated
Total Tokens
134
in + out
Billed Cost
$0.0037
OR Credits
Reasoning
4
thinking tokens
Model Output
a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z
Researcher Notes
⏱
Benchmark Run — Jul 3, 2026

Anthropicclaude-4.8-opus-20260528
stop
Latency
1.42 s
client → response
Input Tokens
75
prompt tokens
Output
53
generated
Total Tokens
128
in + out
Billed Cost
$0.0017
OR Credits
Reasoning
—
thinking tokens
Model Output
a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z
Researcher Notes
⏱
Benchmark Run — Jul 3, 2026

Google DeepMindgemini-3.1-pro-preview-20260219
stop
Latency
4.04 s
client → response
Input Tokens
46
prompt tokens
Output
344
generated
Total Tokens
390
in + out
Billed Cost
$0.0042
OR Credits
Reasoning
293
thinking tokens
Model Output
a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z
Researcher Notes
⏱
Benchmark Run — Jul 3, 2026

OpenAIgpt-5.5-20260423
stop
Latency
742 ms
client → response
Input Tokens
47
prompt tokens
Output
41
generated
Total Tokens
88
in + out
Billed Cost
$0.0015
OR Credits
Reasoning
9
thinking tokens
Model Output
a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z