aiticker

OpenAI · Released Oct 26, 2026

GPT-6.1 Terra

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots...

ReasoningVision
  • #1OTIS Mock AIME
  • Top 5%FrontierMath
  • Top 7%FrontierMath Tier 4
  • Top 8%GPQA Diamond
Compare in showdown → OpenRouter ↗ All OpenAI models
Released
Oct 26 2026
Context window
1.05M 128K out
Input / 1M tokens
$1.00 from $0.50
Output / 1M tokens
$5.00 from $2.50

Where to run it

22 providers compared

Cheapest: OpenAI at $0.50 / $2.50 per 1M input / output tokens — 75% less than the priciest option.

ProviderInputOutputCache readContextMax outputUptimevs. best
OpenAI $0.50 $2.50 $0.0251.05M128K99.6%24h Cheapest
Azure $1.00 $5.00 $0.051.05M128K100%24h +100%
OpenAI $1.00 $5.00 $0.051.05M128K100%24h +100%
Eden AI $1.00 $5.00 $0.051.05M128K— +100%
LowRouter $1.00 $5.00 $0.051.05M128K— +100%
DigitalOcean $1.00 $5.00 $0.051.05M128K— +100%
Azure Cognitive Services $1.00 $5.00 $0.051.05M128K— +100%
LLM Gateway $1.00 $5.00 $0.051.05M128K— +100%
Merge Gateway $1.00 $5.00 $0.051.05M128K— +100%
Ofox $1.00 $5.00 $0.051.05M128K— +100%
CommandCode $1.00 $5.00 $0.051.05M128K— +100%
Requesty $1.00 $5.00 $0.051.05M128K— +100%
GitHub Copilot $1.00 $5.00 $0.051.05M128K— +100%
Cloudflare AI Gateway $1.00 $5.00 $0.051.05M128K— +100%
Vercel AI Gateway $1.00 $5.00 $0.051.05M128K— +100%
Kilo Gateway $1.00 $5.00 $0.051.05M128K— +100%
DevPass (LLM Gateway) $1.00 $5.00 $0.051.05M128K— +100%
NanoGPT $1.00 $5.00 $0.051.05M128K— +100%
Venice AI $1.00 $5.00 $0.051.05M128K— +100%
AI/ML API $1.00 $5.00 $0.051.05M128K— +100%
Amazon Bedrockus-east-1 $1.10 $5.50 $0.0551.05M128K100%24h +120%
Azureus $1.10 $5.50 $0.0551.05M128K99.7%24h +120%
Vivgrid $1.10 $5.50 $0.0551.05M128K— +120%
Cortecs $1.18 $5.88 $0.0591.05M128K— +135%
Azureeu $1.20 $6.00 $0.061.05M128K99.9%24h +140%
OpenAIfast $2.00 $10.00 $0.101.05M128K100%24h +300%

Value

Price vs. performance

2 models score higher for the same price or lesson GPQA Diamond, e.g. Gemini 3.8 Flash.
23.2%47.6%72.0%96.4% $0.001$0.01$0.10$1.00$10.00$100.00 DeepSeek V4.1 Flash 1017 (DeepSeek) — 93.2% · $0.15/1M in Gemini 4 Argon (Google) — 96.4% · $2.00/1M in Claude Haiku 5.5 (Anthropic) — 89.6% · $0.10/1M in Mistral Large 4 (Mistral) — 88.1% · $0.70/1M in Claude Sonnet 5.5 (Anthropic) — 95.6% · $2.00/1M in Claude Opus 5.5 (Anthropic) — 90.6% · $4.00/1M in Grok 4.7 (xAI) — 92.7% · $2.00/1M in DeepSeek V4.1 Flash (DeepSeek) — 93.2% · $0.051/1M in Qwen3.8 Max (0902) (Qwen) — 92.7% · $2.00/1M in Gemini 3.8 Flash (Google) — 95.4% · $0.82/1M in GLM 5.3 Flash (Z.ai) — 90.1% · $0.15/1M in GLM 5.3 (Z.ai) — 90.9% · $0.07/1M in Gemini 3.7 Flash (Google) — 94.8% · $0.75/1M in DeepSeek V4 Pro 0813 (DeepSeek) — 91.7% · $0.11/1M in Grok 4.6 (xAI) — 94.0% · $2.00/1M in DeepSeek V4 Flash 0731 (DeepSeek) — 91.0% · $0.043/1M in Qwen3.7 Flash (Qwen) — 82.3% · $0.03/1M in Claude Opus 5 (Anthropic) — 93.9% · $5.00/1M in Gemini 3.6 Flash (Google) — 94.1% · $0.75/1M in Gemini 3.5 Flash Lite (Google) — 83.3% · $0.30/1M in Kimi K3 (Moonshot AI) — 93.1% · $0.19/1M in Grok 4.5 (xAI) — 93.4% · $2.00/1M in Claude Sonnet 5 (Anthropic) — 90.5% · $2.00/1M in GLM 5.2 (Z.ai) — 91.9% · $0.006/1M in Kimi K2.7 Code (Moonshot AI) — 87.9% · $0.60/1M in Claude Fable 5 (Anthropic) — 85.9% · $10.00/1M in Qwen3.7 Plus (Qwen) — 87.9% · $0.32/1M in MiniMax M3 (MiniMax) — 90.9% · $0.30/1M in Claude Opus 4.8 (Anthropic) — 91.0% · $5.00/1M in Qwen3.7 Max (Qwen) — 90.9% · $1.48/1M in Gemini 3.5 Flash (Google) — 92.8% · $1.50/1M in Gemini 3.1 Flash Lite (Google) — 81.8% · $0.25/1M in Grok 4.3 (xAI) — 88.8% · $1.25/1M in Qwen3.5 Plus 2026-04-20 (Qwen) — 84.9% · $0.30/1M in Qwen3.6 Flash (Qwen) — 83.3% · $0.19/1M in Qwen3.6 35B A3B (Qwen) — 84.9% · $0.10/1M in Qwen3.6 27B (Qwen) — 85.9% · $0.45/1M in DeepSeek V4 Pro 0423 (DeepSeek) — 91.7% · $0.57/1M in DeepSeek V4 Flash 0423 (DeepSeek) — 91.0% · $0.091/1M in Kimi K2.6 (Moonshot AI) — 90.8% · $0.65/1M in Claude Opus 4.7 (Anthropic) — 90.1% · $5.00/1M in GLM 5.1 (Z.ai) — 89.9% · $1.40/1M in Gemma 4 26B A4B (Google) — 73.2% · $0.068/1M in Gemma 4 31B (Google) — 75.8% · $0.20/1M in Qwen3.6 Plus (Qwen) — 88.4% · $0.33/1M in Mistral Small 4 (Mistral) — 47.5% · $0.15/1M in Qwen3.5-9B (Qwen) — 79.0% · $0.17/1M in Gemini 3.1 Flash Lite Preview (Google) — 81.8% · $0.25/1M in Qwen3.5-35B-A3B (Qwen) — 83.5% · $0.14/1M in Gemini 3.1 Pro Preview (Google) — 94.4% · $2.00/1M in Claude Sonnet 4.6 (Anthropic) — 87.4% · $3.00/1M in Qwen3.5 397B A17B (Qwen) — 86.4% · $0.50/1M in GLM 5 (Z.ai) — 87.8% · $1.00/1M in Claude Opus 4.6 (Anthropic) — 90.5% · $5.00/1M in GLM 4.7 Flash (Z.ai) — 60.5% · $0.061/1M in Seed 1.6 (ByteDance) — 77.6% · $0.25/1M in GLM 4.7 (Z.ai) — 83.3% · $0.60/1M in Gemini 3 Flash Preview (Google) — 89.4% · $0.50/1M in Ministral 3 8B 2512 (Mistral) — 27.2% · $0.15/1M in Ministral 3 3B 2512 (Mistral) — 25.3% · $0.10/1M in Mistral Large 3 2512 (Mistral) — 51.3% · $0.50/1M in Claude Opus 4.5 (Anthropic) — 86.1% · $5.00/1M in Claude Haiku 4.5 (Anthropic) — 71.2% · $1.00/1M in Claude Sonnet 4.5 (Anthropic) — 82.3% · $3.00/1M in Claude Opus 4.1 (Anthropic) — 77.3% · $15.00/1M in Qwen3 30B A3B Instruct 2507 (Qwen) — 55.6% · $0.10/1M in Qwen3 235B A22B Thinking 2507 (Qwen) — 80.0% · $0.45/1M in Qwen3 235B A22B Instruct 2507 (Qwen) — 70.7% · $0.14/1M in Gemini 2.5 Pro (Google) — 85.3% · $1.25/1M in Gemini 2.5 Pro Preview 06-05 (Google) — 85.3% · $1.25/1M in R1 0528 (DeepSeek) — 76.3% · $0.50/1M in Qwen3 30B A3B (Qwen) — 61.7% · $0.12/1M in Qwen3 14B (Qwen) — 63.8% · $0.12/1M in Qwen3 32B (Qwen) — 65.7% · $0.08/1M in Gemma 3 4B (Google) — 23.2% · $0.05/1M in Gemma 3 12B (Google) — 39.5% · $0.05/1M in Gemma 3 27B (Google) — 47.7% · $0.08/1M in Qwen-Plus (Qwen) — 48.1% · $0.26/1M in Phi 4 (Microsoft) — 56.1% · $0.07/1M in DeepSeek V3 (DeepSeek) — 71.2% · $0.32/1M in Llama 3.3 70B Instruct (Meta) — 47.4% · $0.59/1M in Mistral Large 2407 (Mistral) — 51.3% · $2.00/1M in Llama 3.2 1B Instruct (Meta) — 23.9% · $0.027/1M in Llama 3.1 70B Instruct (Meta) — 44.2% · $0.72/1M in Llama 3.1 8B Instruct (Meta) — 27.0% · $0.05/1M in Gemma 2 27B (Google) — 36.5% · $0.65/1M in Mistral Large (Mistral) — 51.3% · $2.00/1M in GPT-6.1 Sol (OpenAI) — 95.4% · $2.00/1M in GPT-6 Luna (OpenAI) — 90.5% · $0.10/1M in GPT-6 Sol (OpenAI) — 94.3% · $2.00/1M in GPT-6 Astra (OpenAI) — 95.8% · $10.00/1M in GPT-5.6 Luna (OpenAI) — 91.6% · $0.20/1M in GPT-5.6 Terra (OpenAI) — 93.3% · $2.00/1M in GPT-5.6 Sol (OpenAI) — 93.5% · $4.00/1M in GPT-5.5 (OpenAI) — 90.7% · $5.00/1M in GPT-5.4 Nano (OpenAI) — 78.5% · $0.20/1M in GPT-5.4 Mini (OpenAI) — 86.9% · $0.75/1M in GPT-5.4 Pro (OpenAI) — 94.6% · $30.00/1M in GPT-5.4 (OpenAI) — 93.3% · $2.50/1M in GPT-5.2 (OpenAI) — 91.4% · $1.75/1M in GPT-5.1 (OpenAI) — 87.6% · $1.25/1M in GPT-5 (OpenAI) — 86.2% · $1.25/1M in GPT-5 Mini (OpenAI) — 75.0% · $0.25/1M in GPT-5 Nano (OpenAI) — 69.4% · $0.05/1M in gpt-oss-120b (OpenAI) — 75.8% · $0.027/1M in gpt-oss-20b (OpenAI) — 60.8% · $0.03/1M in o3 (OpenAI) — 81.8% · $2.00/1M in GPT-4.1 (OpenAI) — 66.9% · $2.00/1M in GPT-4.1 Mini (OpenAI) — 65.8% · $0.40/1M in GPT-4.1 Nano (OpenAI) — 48.9% · $0.10/1M in GPT-4o (2024-11-20) (OpenAI) — 49.2% · $2.50/1M in GPT-4o (2024-08-06) (OpenAI) — 49.2% · $2.50/1M in GPT-4o-mini (OpenAI) — 37.7% · $0.15/1M in GPT-4o-mini (2024-07-18) (OpenAI) — 37.7% · $0.15/1M in GPT-4o (OpenAI) — 49.2% · $2.50/1M in GPT-4o (2024-05-13) (OpenAI) — 49.2% · $5.00/1M in GPT-3.5 Turbo (older v0613) (OpenAI) — 28.0% · $1.00/1M in GPT-4 (OpenAI) — 35.7% · $30.00/1M in GPT-6.1 Terra (OpenAI) — 94.3% · $1.00/1M in GPT-6.1 Terra

GPT-6.1 Terra Other OpenAI Other labs Value frontier · GPQA Diamond vs. input price per 1M tokens (log scale) · Drag to pan, pinch or Ctrl + scroll to zoom, double-click to zoom in.

Benchmarks

12 benchmark scores

BenchmarkScoreRankLeader
SciCodeSoftware engineering · Research-coding problems from the natural sciences 55.1% #28of 103 Claude Opus 5.566.9%
WeirdML v3Software engineering · Unfamiliar ML and data tasks with vague goals 28.1% #4of 23 GPT-6 Astra42.2%
APEX-AgentsAgents & computer use · Long professional tasks in banking, consulting and law 68.3% #7of 53 Gemini 4 Argon82.4%
Vending-Bench 2Agents & computer use · Run a simulated vending business for a year (final balance) $9,107 #10of 61 GPT-6 Astra$15,515
SimpleQA VerifiedWriting & content · Factual accuracy on 1,000 short questions 57.3% #19of 78 Gemini 4 Argon76.0%
Blueprint-Bench 2Design & visual · Turn apartment photos into 2D floor plans 42.1% #4of 33 Gemini 4 Argon54.4%
Furniture AssemblyDesign & visual · Spot mistakes in photos of IKEA builds 79.2% #4of 35 Claude Opus 5.583.3%
GPQA DiamondReasoning & knowledge · PhD-level biology, chemistry and physics questions 94.3% #9of 119 Gemini 4 Argon96.4%
CritPtReasoning & knowledge · Open-ended, research-level physics problems 28.0% #13of 114 GPT-5.6 Sol32.3%
FrontierMathMaths · Expert-written problems, undergrad to early research (tiers 1–3) 90.9% #4of 83 GPT-6.1 Sol93.7%
FrontierMath Tier 4Maths · Exceptionally hard research-level problems 92.7% #4of 63 GPT-6.1 Sol100.0%
OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 100.0% #1of 117 This model

Specs

Details

Model ID
openai/gpt-6.1-terra
Developer
OpenAI
Release date
Oct 26, 2026 ·
Context window
1,050,000 tokens
Max output
128,000 tokens
API price
$1.00 / $5.00 per 1M input / output tokens
Providers
22
Input types
file, image, text
Reasoning
Yes
Tool calling
Yes
Open weights
No
Free tier
No

Release date and prices from OpenRouter's catalog; providers from OpenRouter and models.dev. Buying directly from a provider can cost a little differently. Speed, latency and uptime are measured on OpenRouter only; uptime is the share of OpenRouter requests each provider served over the last day. Benchmark scores are the best result per benchmark from Epoch AI, licensed CC BY 4.0. Rank counts every model tracked here with a score.