OpenAI · Frontier
GPT Terra Latest
Compatibility alias that routes to GPT 5.6 Terra, the latest supported GPT Terra model.
- 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
- $12.00
- 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)
- 223 tokens
- Longer than 23% of 465 models
Side by side
GPT Terra Latest compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| GPT Terra LatestOpenAIThis model | MiniMax M3MiniMaxRemove | |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Discovery tier | Frontier | Open weights |
| Added | Sep 11, 2026 | Jun 1, 2026 |
| Limits | ||
| Context window | 1.05MBest | 512K |
| Max output | 128KBest | 80K |
| Average output | 223 tokens | 491 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $2.00 | $0.23Best |
| Output | $12.00 | $0.96Best |
| Cache read | $0.20 | $0.05Best |
| Cache write | $2.50 | — |
| Performance | ||
| Throughput | — | 87.7 tok/s |
| Time to first token | — | 1.8 s |
| Request success (24h) | 100.0%Best | 99.9% |
| Benchmark indexes | ||
| Intelligence Index | 30.1Best | 29.2 |
| Coding Index | 64.7Best | 58.6 |
| Capabilities | ||
| Reasoning | Yes | No |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Structured output | Yes | Yes |
| PDF input | Yes | No |
| 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 Terra Latest
- MiniMax M3
Intelligence Index
- GPT Terra Latest30.1
- MiniMax M329.2
GPT Terra Latest tested at medium reasoning effort
GPT Terra Latest: Better than 73% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- GPT Terra Latest: 64.7Top
- MiniMax M3: 58.6
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- GPT Terra Latest: 33.5%Top
- MiniMax M3: 21.3%
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- GPT Terra Latest: 7.2%Top
- MiniMax M3: 4.4%
Harvey LAB-AAv1.1
Legal tasks passed in full, with no material hallucination
- GPT Terra Latest: —
- MiniMax M3: 0.0%
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- GPT Terra Latest: 1,038 Elo
- MiniMax M3: 1,089 EloTop
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- GPT Terra Latest: 1,266 EloTop
- MiniMax M3: 1,243 Elo
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- GPT Terra Latest: 17.0%Top
- MiniMax M3: 9.8%
AA-LCRv1.1
Reasoning across long documents
- GPT Terra Latest: 74.0%
- MiniMax M3: 83.0%Top
MLCR-AA
Long-context reasoning over medical records
- GPT Terra Latest: 22.8%Top
- MiniMax M3: 4.4%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- GPT Terra Latest: 33.3%
- MiniMax M3: 39.0%Top
GPQA Diamond
Graduate-level science questions
- GPT Terra Latest: 87.2%
- MiniMax M3: 92.9%Top
IFBench
Following precise output instructions
- GPT Terra Latest: 62.2%
- MiniMax M3: 82.9%Top
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- GPT Terra Latest: 1.0%
- MiniMax M3: 2.0%Top
SciCode
Scientific computing in Python
- GPT Terra Latest: 50.5%Top
- MiniMax M3: 47.1%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- GPT Terra Latest: —
- MiniMax M3: 42.4%
τ²-Bench Telecom
Tool use in a customer-support simulation
- GPT Terra Latest: 72.8%
- MiniMax M3: 88.9%Top
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- GPT Terra Latest: 74.0%
- MiniMax M3: 83.0%Top
Scores from Artificial Analysis, updated Oct 26, 2026. GPT Terra Latest was tested at medium reasoning effort; compare scores measured at the same effort.Artificial Analysis
- GPT Terra Latest
- MiniMax M3
| Leaderboard | GPT Terra Latest | MiniMax M3 |
|---|---|---|
| GPQA Diamond | Not in top 20 | #8 · 90.9% |
Ranks among Noumen catalog models on Epoch AI leaderboards. Only top-20 placements are listed.Epoch AI
- GPT Terra Latest
- MiniMax M3
| Leaderboard | GPT Terra Latest | MiniMax M3 |
|---|---|---|
| Agentic Game Dev | Not in top 20 | #16 · 1124 |
| Full Stack | Not in top 20 | #18 · 1197 |
| Native Apps | Not in top 20 | #17 · 1162 |
Ranks among Noumen catalog models on Design Arena leaderboards. Only top-20 placements are listed.Design Arena
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.
- Prompt cache hits
- 82.5%
- About $0.52 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-terra-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-terra-latest",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)OpenAI
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