Google · Released Nov 10, 2026

Gemini 4 Carbon

Gemini 4 Carbon is a frontier Gemini 4 model from Google for coding, agentic and complex reasoning work. It takes text, image, audio, video and file input, supports long decode...

ReasoningVision
  • #1GPQA Diamond
  • #1CritPt
  • #1OTIS Mock AIME
  • #1APEX-Agents
Released
Nov 10 2026
Context window
1M 944K out
Input / 1M tokens
$2.00 from $1.00
Output / 1M tokens
$10.00 from $5.00

Where to run it

17 providers compared

Cheapest: Google AI Studio at $1.00 / $5.00 per 1M input / output tokens — 75% less than the priciest option.

ProviderInputOutputCache readContextMax outputUptimevs. best
Google AI Studio $1.00 $5.00 $0.051M944K100%24h Cheapest
Google AI Studio $2.00 $10.00 $0.101M33K99.4%24h +100%
Googleglobal $2.00 $10.00 $0.101M944K84.9%24h +100%
Kilo Gateway $2.00 $10.00 $0.101M944K— +100%
NanoGPT $2.00 $10.00 $0.101M33K— +100%
Merge Gateway $2.00 $10.00 $0.101M66K— +100%
OpenCode $2.00 $10.00 $0.101M66K— +100%
Prime Inference $2.00 $10.00 —1M944K— +100%
GitHub Copilot $2.00 $10.00 $0.101M66K— +100%
Vercel AI Gateway $2.00 $10.00 $0.101M1M— +100%
CrossModel $2.00 $10.00 $0.101M66K— +100%
Vertex $2.00 $10.00 $0.101M66K— +100%
Cloudflare AI Gateway $2.00 $10.00 $0.101M66K— +100%
Googleus $2.20 $11.00 $0.111M66K98.6%24h +120%
Googleeu $2.20 $11.00 $0.111M66K94.4%24h +120%
Cortecs $2.23 $11.15 $0.111M1M— +123%
Venice AI $2.50 $12.50 $0.131M66K— +150%
Googleglobal/priority $3.60 $18.00 $0.181M944K100%24h +260%
Google AI Studiopriority $3.60 $18.00 $0.181M944K100%24h +260%
LLM Gateway $4.00 $20.00 $0.201M1M— +300%
Eden AI $4.00 $20.00 $0.201M66K— +300%
DevPass (LLM Gateway) $4.00 $20.00 $0.201M66K— +300%

Value

Price vs. performance

On the value frontierNo cheaper model beats Gemini 4 Carbon on GPQA Diamond.
23.2%47.7%72.1%96.5% $0.001$0.01$0.10$1.00$10.00$100.00 Claude Fable 5.2 (Anthropic) — 93.9% · $8.00/1M in GPT-6.1 Terra (OpenAI) — 94.3% · $1.00/1M in DeepSeek V4.1 Flash 1017 (DeepSeek) — 93.2% · $0.30/1M in Claude Haiku 5.5 (Anthropic) — 89.6% · $0.10/1M in Mistral Large 4 (Mistral) — 88.1% · $0.70/1M in GPT-6.1 Sol (OpenAI) — 95.4% · $2.00/1M in Claude Sonnet 5.5 (Anthropic) — 95.6% · $2.00/1M in GPT-6 Luna (OpenAI) — 90.5% · $0.10/1M in GPT-6 Sol (OpenAI) — 94.3% · $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 GPT-6 Astra (OpenAI) — 95.8% · $10.00/1M in Qwen3.8 Max (0902) (Qwen) — 92.7% · $2.00/1M in GLM 5.3 Flash (Z.ai) — 90.1% · $0.04/1M in GLM 5.3 (Z.ai) — 90.9% · $0.084/1M 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 Kimi K3 (Moonshot AI) — 93.1% · $0.19/1M 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% · $4.40/1M 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% · $0.007/1M 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 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% · $0.32/1M in GPT-5.5 (OpenAI) — 90.7% · $5.00/1M in DeepSeek V4 Pro 0423 (DeepSeek) — 91.7% · $0.90/1M in DeepSeek V4 Flash 0423 (DeepSeek) — 91.0% · $0.09/1M 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 Qwen3.6 Plus (Qwen) — 88.4% · $0.33/1M in GPT-5.4 Nano (OpenAI) — 78.5% · $0.20/1M in GPT-5.4 Mini (OpenAI) — 86.9% · $0.75/1M in Mistral Small 4 (Mistral) — 47.5% · $0.15/1M in Qwen3.5-9B (Qwen) — 79.0% · $0.098/1M in GPT-5.4 Pro (OpenAI) — 94.6% · $30.00/1M in GPT-5.4 (OpenAI) — 93.3% · $2.50/1M in Qwen3.5-35B-A3B (Qwen) — 83.5% · $0.14/1M in Claude Sonnet 4.6 (Anthropic) — 87.4% · $3.00/1M in Qwen3.5 397B A17B (Qwen) — 86.4% · $0.60/1M 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% · $0.60/1M in GPT-5.2 (OpenAI) — 91.4% · $1.75/1M 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 GPT-5.1 (OpenAI) — 87.6% · $1.25/1M in Claude Haiku 4.5 (Anthropic) — 71.2% · $1.00/1M in Claude Sonnet 4.5 (Anthropic) — 82.3% · $3.00/1M 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% · $0.03/1M 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 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 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 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% · $0.71/1M in GPT-4o (2024-11-20) (OpenAI) — 49.2% · $2.50/1M in Mistral Large 2407 (Mistral) — 51.3% · $2.00/1M in Llama 3.2 1B Instruct (Meta) — 23.9% · $0.027/1M in GPT-4o (2024-08-06) (OpenAI) — 49.2% · $2.50/1M in Llama 3.1 70B Instruct (Meta) — 44.2% · $0.72/1M in Llama 3.1 8B Instruct (Meta) — 27.0% · $0.02/1M 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 Mistral Large (Mistral) — 51.3% · $2.00/1M in GPT-3.5 Turbo (older v0613) (OpenAI) — 28.0% · $1.00/1M in GPT-4 (OpenAI) — 35.7% · $30.00/1M in Gemini 4 Argon (Google) — 96.4% · $2.00/1M in Gemini 3.8 Flash (Google) — 95.4% · $0.82/1M in Gemini 3.7 Flash (Google) — 94.8% · $0.75/1M in Gemini 3.6 Flash (Google) — 94.1% · $0.75/1M in Gemini 3.5 Flash Lite (Google) — 83.3% · $0.30/1M in Gemini 3.5 Flash (Google) — 92.8% · $1.50/1M in Gemini 3.1 Flash Lite (Google) — 81.8% · $0.25/1M in Gemma 4 26B A4B (Google) — 73.2% · $0.09/1M in Gemma 4 31B (Google) — 75.8% · $0.20/1M in Gemini 3.1 Flash Lite Preview (Google) — 81.8% · $0.25/1M in Gemini 3.1 Pro Preview (Google) — 94.4% · $2.00/1M in Gemini 3 Flash Preview (Google) — 89.4% · $0.50/1M 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 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 Gemma 2 27B (Google) — 36.5% · $0.65/1M in Gemini 4 Carbon (Google) — 96.5% · $2.00/1M in Gemini 4 Carbon

Gemini 4 Carbon Other Google 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

17 benchmark scores

BenchmarkScoreRankLeader
FrontierSWESoftware engineering · Ultra-long-horizon engineering tasks with a 20-hour budget each 61.2% #5of 21 Claude Fable 5.269.9%
CursorBenchSoftware engineering · Ambiguous multi-file tasks drawn from real Cursor sessions 60.4% #1of 20 This model
SciCodeSoftware engineering · Research-coding problems from the natural sciences 64.2% #3of 105 Claude Fable 5.267.7%
APEX-AgentsAgents & computer use · Long professional tasks in banking, consulting and law 84.2% #1of 56 This model
Vending-Bench 2Agents & computer use · Run a simulated vending business for a year (final balance) $16,484 #1of 63 This model
SimpleQA VerifiedWriting & content · Factual accuracy on 1,000 short questions 77.7% #2of 79 Claude Fable 5.294.0%
Blueprint-Bench 2Design & visual · Turn apartment photos into 2D floor plans 58.6% #1of 35 This model
Furniture AssemblyDesign & visual · Spot mistakes in photos of IKEA builds 77.5% #6of 37 Claude Fable 5.290.0%
GPQA DiamondReasoning & knowledge · PhD-level biology, chemistry and physics questions 96.5% #1of 120 This model
ARC-AGI-2Reasoning & knowledge · Few-shot abstract reasoning on grid puzzles 94.2% #2of 76 GPT-6 Astra95.0%
ARC-AGI-1Reasoning & knowledge · Pattern induction from input–output examples 98.5% #1of 74 This model
SimpleBenchReasoning & knowledge · Common-sense trick questions about space, time and people 92.6% #2of 71 Claude Fable 5.294.9%
CritPtReasoning & knowledge · Open-ended, research-level physics problems 36.0% #1of 116 This model
Chess PuzzlesReasoning & knowledge · Find the single best move in 100 new puzzles 78.0% #2of 82 Claude Fable 5.279.0%
FrontierMathMaths · Expert-written problems, undergrad to early research (tiers 1–3) 90.5% #6of 85 Claude Fable 5.295.1%
FrontierMath Tier 4Maths · Exceptionally hard research-level problems 95.1% #4of 65 Claude Fable 5.2100.0%
OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 100.0% #1of 118 This model

Specs

Details

Model ID
google/gemini-4-carbon
Developer
Google
Release date
Nov 10, 2026 ·
Context window
1,048,576 tokens
Max output
943,718 tokens
API price
$2.00 / $10.00 per 1M input / output tokens
Providers
17
Input types
audio, file, image, text, video
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.