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 | MiMo V2.6 ProxiaomiRemove | |
|---|---|---|
| Provider | OpenAI | xiaomi |
| Discovery tier | Frontier | Open weights |
| Added | May 3, 2026 | Sep 21, 2026 |
| Limits | ||
| Context window | 1.05MBest | 1.05M |
| Max output | 128K | 131.07KBest |
| Average output | 408 tokens | 1.2K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $2.00 | $0.44Best |
| Output | $10.00 | $0.87Best |
| Cache read | $0.20 | $0.0036Best |
| Cache write | $2.50 | $0.00Best |
| Performance | ||
| Throughput | 41.4 tok/s | 42.8 tok/sBest |
| Time to first token | 9.0 s | 3.2 sBest |
| Request success (24h) | 100.0%Best | 99.8% |
| Benchmark indexes | ||
| Intelligence Index | 47.0Best | 46.3 |
| Coding Index | 77.4 | — |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Structured output | Yes | Yes |
| PDF input | Yes | No |
| Audio input | No | Yes |
| Video input | No | Yes |
| Reasoning effort | none, low, medium, high, xhigh, max | none, high |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- GPT Chat Latest
- MiMo V2.6 Pro
Intelligence Index
- GPT Chat Latest47.0
- MiMo V2.6 Pro46.3
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
- MiMo V2.6 Pro: —
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- GPT Chat Latest: 60.1%Top
- MiMo V2.6 Pro: 58.6%
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- GPT Chat Latest: 30.3%Top
- MiMo V2.6 Pro: 25.4%
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- GPT Chat Latest: 1,479 Elo
- MiMo V2.6 Pro: 1,512 EloTop
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- GPT Chat Latest: 1,609 Elo
- MiMo V2.6 Pro: 1,683 EloTop
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- GPT Chat Latest: 27.2%Top
- MiMo V2.6 Pro: 19.2%
AA-LCRv1.1
Reasoning across long documents
- GPT Chat Latest: 84.0%
- MiMo V2.6 Pro: 86.3%Top
MLCR-AA
Long-context reasoning over medical records
- GPT Chat Latest: 30.0%Top
- MiMo V2.6 Pro: 12.8%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- GPT Chat Latest: 49.5%Top
- MiMo V2.6 Pro: 49.4%
GPQA Diamond
Graduate-level science questions
- GPT Chat Latest: 94.1%
- MiMo V2.6 Pro: —
IFBench
Following precise output instructions
- GPT Chat Latest: 72.7%
- MiMo V2.6 Pro: —
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- GPT Chat Latest: 39.9%Top
- MiMo V2.6 Pro: 34.8%
SciCode
Scientific computing in Python
- GPT Chat Latest: 57.1%
- MiMo V2.6 Pro: 60.9%Top
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- GPT Chat Latest: 65.9%
- MiMo V2.6 Pro: —
τ²-Bench Telecom
Tool use in a customer-support simulation
- GPT Chat Latest: 85.1%
- MiMo V2.6 Pro: —
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- GPT Chat Latest: 84.0%
- MiMo V2.6 Pro: 86.3%Top
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
- MiMo V2.6 Pro
| Leaderboard | GPT Chat Latest | MiMo V2.6 Pro |
|---|---|---|
| Coding | Not in top 20 | #10 · 1537.6 |
| Longer Query | Not in top 20 | #17 · 1494.0 |
| English | Not in top 20 | #10 · 1495.3 |
| Expert | Not in top 20 | #11 · 1528.5 |
| Hard Prompts English | Not in top 20 | #13 · 1513.3 |
| Industry Mathematical | Not in top 20 | #17 · 1501.9 |
| Industry Software And It Services | Not in top 20 | #10 · 1528.2 |
| WebDev · Image To Webdev | Not in top 20 | #13 · 1598.3 |
| WebDev · Webdev-html | Not in top 20 | #15 · 1625.8 |
Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena
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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