OpenAI · Frontier
GPT Chat Latest
Compatibility chat alias that routes to GPT 5.6 Sol, the flagship GPT-5.6 tier for complex reasoning, coding, and agentic workflows.
- Reasoning
- Tools
- Vision
- Structured output
- PDF input
- Input
- Text, Images
- Output
- Text
- Reasoning effort
- none · low · medium · high · xhigh · max
- Discovery tier
- Frontier
Pricing
USD per 1M tokens- Input
- $2.00
- Output
- $10.00
- Cache read
- $0.20
- Cache write
- $2.50
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1.1M
- Max output
- 128K
- Average output (7 days)
- 408 tokens
- Longer than 40% of 465 models
Side by side
GPT Chat Latest compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| GPT Chat LatestOpenAIThis model | GPT 4.1OpenAIRemove | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Discovery tier | Frontier | Frontier |
| Added | May 3, 2026 | Sep 10, 2025 |
| Limits | ||
| Context window | 1.05MBest | 1.05M |
| Max output | 128KBest | 32.77K |
| Average output | 408 tokens | 29 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $2.00 | $2.00 |
| Output | $10.00 | $8.00Best |
| Cache read | $0.20Best | $0.50 |
| Cache write | $2.50 | — |
| Performance | ||
| Throughput | 41.4 tok/s | — |
| Time to first token | 9.0 s | — |
| Request success (24h) | 100.0% | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | 47.0Best | 12.7 |
| Coding Index | 77.4 | — |
| Math Index | — | 34.7 |
| Capabilities | ||
| Reasoning | Yes | No |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Structured output | Yes | Yes |
| PDF input | Yes | Yes |
| Reasoning effort | none, low, medium, high, xhigh, max | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- GPT Chat Latest
- GPT 4.1
Intelligence Index
- GPT Chat Latest47.0
- GPT 4.112.7
GPT Chat Latest tested at max reasoning effort
GPT Chat Latest: Better than 94% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- GPT Chat Latest: 77.4
- GPT 4.1: —
Math Index
Composite of the math evaluations
- GPT Chat Latest: —
- GPT 4.1: 34.7
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- GPT Chat Latest: 60.1%
- GPT 4.1: —
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- GPT Chat Latest: 30.3%
- GPT 4.1: —
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- GPT Chat Latest: 1,479 Elo
- GPT 4.1: —
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- GPT Chat Latest: 1,609 Elo
- GPT 4.1: —
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- GPT Chat Latest: 27.2%
- GPT 4.1: —
AA-LCRv1.1
Reasoning across long documents
- GPT Chat Latest: 84.0%Top
- GPT 4.1: 68.3%
MLCR-AA
Long-context reasoning over medical records
- GPT Chat Latest: 30.0%
- GPT 4.1: —
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- GPT Chat Latest: 49.5%Top
- GPT 4.1: 4.2%
GPQA Diamond
Graduate-level science questions
- GPT Chat Latest: 94.1%Top
- GPT 4.1: 66.6%
MMLU-Pro
Multi-subject knowledge and reasoning
- GPT Chat Latest: —
- GPT 4.1: 80.6%
IFBench
Following precise output instructions
- GPT Chat Latest: 72.7%Top
- GPT 4.1: 43.0%
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- GPT Chat Latest: 39.9%
- GPT 4.1: —
SciCode
Scientific computing in Python
- GPT Chat Latest: 57.1%
- GPT 4.1: —
LiveCodeBench
Recent competitive programming problems
- GPT Chat Latest: —
- GPT 4.1: 45.7%
Math
AIME 2025
Competition mathematics, 2025 problems
- GPT Chat Latest: —
- GPT 4.1: 34.7%
AIME
Competition mathematics
- GPT Chat Latest: —
- GPT 4.1: 43.7%
MATH-500
Competition math problems
- GPT Chat Latest: —
- GPT 4.1: 91.3%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- GPT Chat Latest: 65.9%Top
- GPT 4.1: 13.6%
τ²-Bench Telecom
Tool use in a customer-support simulation
- GPT Chat Latest: 85.1%Top
- GPT 4.1: 47.1%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- GPT Chat Latest: 84.0%Top
- GPT 4.1: 68.3%
Scores from Artificial Analysis, updated Oct 26, 2026. GPT Chat Latest was tested at max reasoning effort; compare scores measured at the same effort.Artificial Analysis
- GPT Chat Latest
- GPT 4.1
| Leaderboard | GPT Chat Latest | GPT 4.1 |
|---|---|---|
| Vision Style Control · Creative Writing | Not in top 20 | #7 · 1233.7 |
| Vision Style Control · Captioning | Not in top 20 | #9 · 1209.9 |
Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena
- GPT Chat Latest
- GPT 4.1
| Leaderboard | GPT Chat Latest | GPT 4.1 |
|---|---|---|
| SWE-bench Verified | Not in top 20 | #13 · 48.5% |
Ranks among Noumen catalog models on Epoch AI leaderboards. Only top-20 placements are listed.Epoch AI
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Throughput
- 41.4 tok/s
- Faster than 30% of 247 models
- Time to first token
- 9.0 s
- Quicker than 11% of 247 models
- Prompt cache hits
- 0.0%
- About $2.00 per 1M input tokens with caching
- Request success (24h)
- 100.0%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/gpt-chat-latest",
"reasoning_effort": "medium",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="openai/gpt-chat-latest",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)OpenAI
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