Patchwire

OpenAI · Released Mar 5, 2026

GPT-5.4

GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...

ReasoningVision
  • Top 5%Terminal-Bench
  • Top 18%GPQA Diamond
  • Top 18%CritPt
  • Top 20%SciCode
Compare in showdown → OpenRouter ↗ All OpenAI models
Released
Mar 5 2026
Context window
1.05M 128K out
Input / 1M tokens
$2.50 from $1.25
Output / 1M tokens
$15.00 from $7.50

Where to run it

3 providers compared

Cheapest: OpenAI at $1.25 / $7.50 per 1M input / output tokens — 75% less than the priciest option.

ProviderInputOutputCache readContextMax outputUptimevs. best
OpenAI $1.25 $7.50 $0.131.05M128K75.4%24h Cheapest
Azure $2.50 $15.00 $0.251.05M128K100%24h +100%
OpenAI $2.50 $15.00 $0.251.05M128K100%24h +100%
Azureus $2.75 $16.50 $0.281.05M128K100%24h +120%
Azureeu $2.75 $16.50 $0.281.05M128K100%24h +120%
Amazon Bedrockus-east-1 $2.75 $16.50 $0.281.05M128K— +120%
OpenAIfast $5.00 $30.00 $0.501.05M128K— +300%

Value

Price vs. performance

11 models score higher for the same price or lesson GPQA Diamond, e.g. Gemini 4 Argon.
25.3%49.0%72.7%96.4% $0.01$0.10$1.00$10.00$100.00 DeepSeek V4.1 Flash 1017 (DeepSeek) — 89.8% · $0.30/1M 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% · $0.68/1M 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) — 89.8% · $0.056/1M 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% · $0.047/1M 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% · $0.44/1M 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% · $0.62/1M 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% · $0.95/1M 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% · $0.97/1M 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% · $0.10/1M in Gemini 3.1 Flash Lite Preview (Google) — 81.8% · $0.25/1M in Qwen3.5-35B-A3B (Qwen) — 83.5% · $0.15/1M 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% · $0.39/1M in GLM 5 (Z.ai) — 87.8% · $0.60/1M 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 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-5.2 (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 GPT-5.4 (OpenAI) — 93.3% · $2.50/1M in GPT-5.4

GPT-5.4 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

27 benchmark scores

BenchmarkScoreRankLeader
DeepSWESoftware engineering · Original long-horizon tasks across active open-source repos 51.8% #20of 26 GPT-6 Astra74.1%
SWE-bench VerifiedSoftware engineering · Real GitHub issues fixed in Python repos 76.9% #8of 26 Claude Opus 4.783.5%
Terminal-BenchSoftware engineering · Tasks completed with the programs in a real terminal (best agent) 81.8% #2of 40 GPT-5.584.7%
MirrorCodeSoftware engineering · Reimplement whole programs end-to-end without the source 15.6% #7of 9 Claude Opus 5.577.4%
GBAEvalSoftware engineering · Build a Game Boy Advance emulator from scratch 45.1% #10of 23 Claude Opus 579.6%
GSOSoftware engineering · Optimize real code to make it significantly faster 31.4% #10of 20 Claude Fable 5.188.2%
SciCodeSoftware engineering · Research-coding problems from the natural sciences 56.6% #18of 93 Claude Opus 5.566.9%
METR time horizonSoftware engineering · Length of software task solved more often than not 5.7 h #5of 13 Claude Opus 4.612 h
APEX-AgentsAgents & computer use · Long professional tasks in banking, consulting and law 52.4% #24of 51 Gemini 4 Argon82.4%
Vending-Bench 2Agents & computer use · Run a simulated vending business for a year (final balance) $6,144 #20of 61 GPT-6 Astra$15,515
PostTrainBenchAgents & computer use · Post-train small models under a fixed compute budget 19.0% #11of 11 Claude Fable 541.8%
DeepResearch BenchWriting & content · Find and synthesize information from the web 35.1% #19of 20 Claude Opus 4.655.3%
SimpleQA VerifiedWriting & content · Factual accuracy on 1,000 short questions 45.1% #35of 66 Gemini 4 Argon76.0%
WebDev ArenaDesign & visual · People vote on which model builds the better website (Elo) 1463 #52of 88 Claude Opus 5.51820
Blueprint-Bench 2Design & visual · Turn apartment photos into 2D floor plans 27.1% #21of 32 Gemini 4 Argon54.4%
Furniture AssemblyDesign & visual · Spot mistakes in photos of IKEA builds 37.5% #18of 34 Claude Opus 5.583.3%
GPQA DiamondReasoning & knowledge · PhD-level biology, chemistry and physics questions 93.3% #16of 92 Gemini 4 Argon96.4%
Humanity's Last ExamReasoning & knowledge · Expert questions across 100+ subjects 36.2% #7of 23 GPT-6 Astra54.8%
ARC-AGI-2Reasoning & knowledge · Few-shot abstract reasoning on grid puzzles 74.0% #18of 63 GPT-6 Astra95.0%
ARC-AGI-1Reasoning & knowledge · Pattern induction from input–output examples 93.7% #21of 63 Gemini 4 Argon98.5%
CritPtReasoning & knowledge · Open-ended, research-level physics problems 23.4% #17of 96 GPT-5.6 Sol32.3%
Chess PuzzlesReasoning & knowledge · Find the single best move in 100 new puzzles 48.0% #17of 70 GPT-6 Astra76.0%
LMCAReasoning & knowledge · Judge the quality of conceptual arguments like experts 52.0% #22of 96 Claude Sonnet 5.568.3%
FrontierMathMaths · Expert-written problems, undergrad to early research (tiers 1–3) 78.6% #18of 72 GPT-6.1 Sol93.7%
FrontierMath Tier 4Maths · Exceptionally hard research-level problems 49.0% #18of 62 GPT-6.1 Sol100.0%
ProofBenchMaths · Graduate maths proofs verified in Lean 4 56.0% #24of 70 Claude Sonnet 5.5100.0%
OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 97.8% #27of 90 Gemini 4 Argon100.0%

Specs

Details

Model ID
openai/gpt-5.4
Developer
OpenAI
Release date
Mar 5, 2026 ·
Context window
1,050,000 tokens
Max output
128,000 tokens
API price
$2.50 / $15.00 per 1M input / output tokens
Providers
3
Input types
text, image, file
Reasoning
Yes
Tool calling
Yes
Open weights
No
Free tier
No

Release date, prices and providers from OpenRouter's catalog; buying directly from a provider can cost a little differently. 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.