aiticker

OpenAI · Released Sep 29, 2026

GPT-6.1 Sol

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional...

ReasoningVision
  • #1OTIS Mock AIME
  • #1ARC-AGI-1
  • Top 2%CritPt
  • #1FrontierMath
Compare in showdown → OpenRouter ↗ All OpenAI models
Released
Sep 29 2026
Context window
1.05M 128K out
Input / 1M tokens
$2.00 from $1.00
Output / 1M tokens
$10.00 from $5.00

Where to run it

32 providers compared

Included in GitLab Duo. Cheapest: OpenAI at $1.00 / $5.00 per 1M input / output tokens — 92% less than the priciest option.

ProviderInputOutputCache readContextMax outputUptimevs. best
GitLab Duosubscription plan Plan Plan Plan1.05M128K— Plan
OpenAI $1.00 $5.00 $0.051.05M128K56.3%24h Cheapest
OpenAI $2.00 $10.00 $0.101.05M128K100%24h +100%
Azure $2.00 $10.00 $0.101.05M128K83.1%24h +100%
NanoGPT $2.00 $10.00 $0.101.05M128K— +100%
Cloudflare AI Gateway $2.00 $10.00 $0.101.05M128K— +100%
Kilo Gateway $2.00 $10.00 $0.101.05M128K— +100%
Vercel AI Gateway $2.00 $10.00 $0.101.05M128K— +100%
LLM Gateway $2.00 $10.00 $0.101.05M128K— +100%
Requesty $2.00 $10.00 $0.101.05M128K— +100%
AIHubMix $2.00 $10.00 $0.101.05M128K— +100%
302.AI $2.00 $10.00 $0.101.05M128K— +100%
DigitalOcean $2.00 $10.00 $0.101.05M128K— +100%
GitHub Copilot $2.00 $10.00 $0.101.05M128K— +100%
Perplexity Agent $2.00 $10.00 $0.101.05M128K— +100%
Aixy $2.00 $10.00 $0.101.05M128K— +100%
Prime Inference $2.00 $10.00 —1.05M128K— +100%
Neon $2.00 $10.00 $0.101.05M128K— +100%
Azure Cognitive Services $2.00 $10.00 $0.101.05M128K— +100%
Vivgrid $2.00 $10.00 $0.201.05M128K— +100%
CrossModel $2.00 $10.00 $0.101.05M128K— +100%
DevPass (LLM Gateway) $2.00 $10.00 $0.101.05M128K— +100%
CommandCode $2.00 $10.00 $0.101.05M128K— +100%
Merge Gateway $2.00 $10.00 $0.101.05M128K— +100%
Ofox $2.00 $10.00 $0.101.05M128K— +100%
LowRouter $2.00 $10.00 $0.101.05M128K— +100%
OpenCode $2.00 $10.00 $0.101.05M128K— +100%
NEAR AI Cloud $2.00 $10.00 $0.101.05M128K— +100%
Eden AI $2.00 $10.00 $0.101.05M128K— +100%
Amazon Bedrockus-east-1 $2.20 $11.00 $0.111.05M128K100%24h +120%
Azureeu $2.20 $11.00 $0.111.05M128K100%24h +120%
Azureus $2.20 $11.00 $0.111.05M128K100%24h +120%
Cortecs $2.40 $12.00 $0.121.05M128K— +140%
AI/ML API $2.60 $13.00 $0.131.05M128K— +160%
OpenAIfast $4.00 $20.00 $0.201.05M128K100%24h +300%
OpenAIultrafast $12.00 $60.00 $0.601.05M128K100%24h +1100%
Venice AI $12.00 $60.00 $0.601.05M128K— +1100%

Value

Price vs. performance

2 models score higher for the same price or lesson GPQA Diamond, e.g. Gemini 4 Argon.
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% · $1.36/1M 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% · $0.30/1M 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% · $0.005/1M in GLM 5.3 (Z.ai) — 90.9% · $0.079/1M in Gemini 3.7 Flash (Google) — 94.8% · $0.75/1M in DeepSeek V4 Pro 0813 (DeepSeek) — 91.7% · $0.66/1M in Grok 4.6 (xAI) — 94.0% · $2.00/1M in DeepSeek V4 Flash 0731 (DeepSeek) — 91.0% · $0.044/1M 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% · $0.24/1M 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% · $0.034/1M in Kimi K2.7 Code (Moonshot AI) — 87.9% · $0.67/1M 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% · $0.25/1M in DeepSeek V4 Pro 0423 (DeepSeek) — 91.7% · $0.44/1M 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% · $0.09/1M 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% · $0.08/1M 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 GLM 4.7 (Z.ai) — 83.3% · $0.54/1M 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% · $0.09/1M in Qwen3 235B A22B Thinking 2507 (Qwen) — 80.0% · $0.45/1M in Qwen3 235B A22B Instruct 2507 (Qwen) — 70.7% · $0.09/1M 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% · $0.04/1M 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% · $0.26/1M in Llama 3.3 70B Instruct (Meta) — 47.4% · $0.10/1M 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% · $0.40/1M 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 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% · $0.15/1M in gpt-oss-20b (OpenAI) — 60.8% · $0.018/1M in o3 (OpenAI) — 81.8% · $2.00/1M in o4 Mini (OpenAI) — 79.6% · $1.10/1M 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 o3 Mini (OpenAI) — 77.0% · $1.10/1M in o1 (OpenAI) — 76.8% · $15.00/1M 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-4 Turbo (OpenAI) — 46.6% · $10.00/1M in GPT-3.5 Turbo (older v0613) (OpenAI) — 28.0% · $1.00/1M in GPT-3.5 Turbo (OpenAI) — 28.0% · $0.50/1M in GPT-4 (OpenAI) — 35.7% · $30.00/1M in GPT-6.1 Sol (OpenAI) — 95.4% · $2.00/1M in GPT-6.1 Sol

GPT-6.1 Sol 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

18 benchmark scores

BenchmarkScoreRankLeader
FrontierCodeSoftware engineering · Mergeable fixes for hard open-source issues 50.2% #7of 41 Claude Opus 5.554.6%
SciCodeSoftware engineering · Research-coding problems from the natural sciences 55.8% #24of 102 Claude Opus 5.566.9%
WeirdML v3Software engineering · Unfamiliar ML and data tasks with vague goals 38.3% #2of 22 GPT-6 Astra42.2%
APEX-AgentsAgents & computer use · Long professional tasks in banking, consulting and law 60.0% #12of 51 Gemini 4 Argon82.4%
GDP.pdfWriting & content · Answer questions about real professional PDFs 35.0% #1of 38 This model
SimpleQA VerifiedWriting & content · Factual accuracy on 1,000 short questions 73.9% #3of 79 Gemini 4 Argon76.0%
WebDev ArenaDesign & visual · People vote on which model builds the better website (Elo) 1759 #4of 90 Claude Opus 5.51820
Furniture AssemblyDesign & visual · Spot mistakes in photos of IKEA builds 80.0% #2of 34 Claude Opus 5.583.3%
GPQA DiamondReasoning & knowledge · PhD-level biology, chemistry and physics questions 95.4% #4of 122 Gemini 4 Argon96.4%
ARC-AGI-2Reasoning & knowledge · Few-shot abstract reasoning on grid puzzles 94.2% #2of 75 GPT-6 Astra95.0%
ARC-AGI-1Reasoning & knowledge · Pattern induction from input–output examples 98.5% #1of 75 Gemini 4 Argon98.5%
CritPtReasoning & knowledge · Open-ended, research-level physics problems 31.7% #2of 111 GPT-5.6 Sol32.3%
Chess PuzzlesReasoning & knowledge · Find the single best move in 100 new puzzles 68.0% #2of 83 GPT-6 Astra76.0%
LMCAReasoning & knowledge · Judge the quality of conceptual arguments like experts 62.8% #7of 123 Claude Sonnet 5.568.3%
FrontierMathMaths · Expert-written problems, undergrad to early research (tiers 1–3) 93.7% #1of 87 This model
FrontierMath Tier 4Maths · Exceptionally hard research-level problems 100.0% #1of 64 This model
ProofBenchMaths · Graduate maths proofs verified in Lean 4 99.0% #4of 70 Claude Sonnet 5.5100.0%
OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 100.0% #1of 120 Gemini 4 Argon100.0%

Specs

Details

Model ID
openai/gpt-6.1-sol
Developer
OpenAI
Release date
Sep 29, 2026 ·
Context window
1,050,000 tokens
Max output
128,000 tokens
API price
$2.00 / $10.00 per 1M input / output tokens
Providers
32
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.