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Gemini 4 Hydrogen vs GPT-5.3-Codex

Full profiles: Gemini 4 Hydrogen (Google) and GPT-5.3-Codex (OpenAI): every benchmark, price and rank.

Updated · Data from 7 sources

As of 13 Nov 2026, Gemini 4 Hydrogen and GPT-5.3-Codex are neck and neck on quality (63.4 vs 62.9 on the BenchLeader Index, inside the ±7.3 margin), and Gemini 4 Hydrogen is 1.6× cheaper at $3.00 vs $4.81 per 1M tokens blended. Choose Gemini 4 Hydrogen for coding (69 vs 61) and fast first answers (16.4 s vs 44.5 s), where it also streams ~2× faster; choose GPT-5.3-Codex for agents & tools (80 vs 62).

Key facts (as of 13 Nov 2026)

  • Gemini 4 Hydrogen scores 63.4 on the BenchLeader Index and GPT-5.3-Codex scores 62.9 (BenchLeader, 13 Nov 2026).
  • Gemini 4 Hydrogen costs $3.00 per 1M tokens blended (list price, 13 Nov 2026).
  • GPT-5.3-Codex costs $4.81 per 1M tokens blended (list price, 13 Nov 2026).
  • Gemini 4 Hydrogen streams ~2× faster than GPT-5.3-Codex (Artificial Analysis, 7-day median, 13 Nov 2026).
  • Of the 1 benchmarks both models have, Gemini 4 Hydrogen leads 1 (BenchLeader, 13 Nov 2026).
Gemini 4 Hydrogen benchmarks high Google GPT-5.3-Codex benchmarks xhigh OpenAIAdd a third model

Which to pick for…

The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.

Use casePickWhyConfidence
CodingGemini 4 Hydrogen69 vs 61 category scoreHigh
Agents & tool useGPT-5.3-Codex80 vs 62 category score; AA-Briefcase v1.1 868 vs 1497High
Chat quality (human preference)–Only Gemini 4 Hydrogen has an Arena rating (68 category score)Not comparable
Lowest costGemini 4 Hydrogen$3.00 vs $4.81 per 1M blended; agentic coding session $0.120 vs $0.161–
Fastest first answerGemini 4 Hydrogen16.4 s (Gemini 4 Hydrogen (high)) vs 44.5 s (GPT-5.3-Codex (xhigh)) to the first answer token–
High volume on a budgetNeither flagshipA smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs–

Key differences

  • Gemini 4 Hydrogen (high) and GPT-5.3-Codex (xhigh) are neck and neck on quality (63.4 vs 62.9, within the ±7.3 margin).
  • Gemini 4 Hydrogen (high) is stronger in coding.
  • GPT-5.3-Codex (xhigh) is stronger in agents & tools.
  • Gemini 4 Hydrogen (high) is 1.6× cheaper ($3.00 vs $4.81 per 1M blended).
  • Gemini 4 Hydrogen (high) streams 2.4× faster (180 vs 74 tokens per second).

At a glance

SpecGemini 4 HydrogenGPT-5.3-Codex
DeveloperGoogleOpenAI
Released12 Nov 20265 Feb 2026
Context window (tokens)1,048,576400,000
Compared atGemini 4 Hydrogen (high)GPT-5.3-Codex (xhigh)
Open weightsNoNo
Price in / out / cached input per 1M$1.50 / $7.50 / $0.075$1.75 / $14.00 / $0.175

Category by category

Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.

CategoryGemini 4 Hydrogen (high)GPT-5.3-Codex (xhigh)Leader
Reasoning69.6–not comparable
Coding68.861.0Gemini 4 Hydrogen
Agents & tools61.980.1GPT-5.3-Codex
Maths67.8–not comparable
Knowledge68.5–not comparable
Instruction following–73.6not comparable
Human preference68.2–not comparable
Multimodal–60.8not comparable
Long context–66.4not comparable

On one chart

Each domain on the index's own scale, where 50 is an average model. Click a domain to see the benchmarks behind it. Pick up to 5 models from the list.

2550 avg75ReasoningCodingAgents & toolsMathsKnowledgeInstructionfollowingLong contextMultimodalHumanpreferenceGemini 4 Hydrogen, Reasoning: 69.6Gemini 4 Hydrogen, Coding: 68.8Gemini 4 Hydrogen, Agents & tools: 61.9Gemini 4 Hydrogen, Maths: 67.8Gemini 4 Hydrogen, Knowledge: 68.5Gemini 4 Hydrogen, Human preference: 68.2GPT-5.3-Codex, Coding: 61.0GPT-5.3-Codex, Agents & tools: 80.1GPT-5.3-Codex, Instruction following: 73.6GPT-5.3-Codex, Long context: 66.4GPT-5.3-Codex, Multimodal: 60.8

Dashed: that model has no result on the axis it crosses; the line only joins its neighbours.

Model, click to add or removeIndex

Where sources disagree

Across the 1 benchmarks both have, Gemini 4 Hydrogen leads 1, GPT-5.3-Codex leads 0.

Overall indexGemini 4 Hydrogen (high)GPT-5.3-Codex (xhigh)Leader
BenchLeader Index63.462.9neck and neck

Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).

Price, speed and latency

List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page. Cost, tokens and time per benchmark task are measured: Artificial Analysis’ averages over its whole Intelligence Index run.

MeasureGemini 4 Hydrogen (high)GPT-5.3-Codex (xhigh)
Blended price per 1M tokens$3.00$4.81
Input / output per 1M$1.50 / $7.50$1.75 / $14.00
Cached input per 1M$0.075$0.175
Price per task: chat reply$0.0029$0.0049
Price per task: summarize a 30-page report$0.022$0.029
Price per task: code edit$0.020$0.032
Price per task: agentic coding session$0.120$0.161
Price per task: structured extraction$0.0045$0.0063
Agentic coding session, input mostly cached$0.056$0.090
Cost per benchmark task (AA Index)$1.87–
Output tokens per task (AA Index)85k–
Of which reasoning48k–
Time per task (AA Index)8 min–
Output speed180 tok/s74 tok/s
Time to first answer16.4 s44.5 s
Time to a complete answer63.3 s97.1 s

Each model is compared at its best-ranked reasoning-effort setting. Gemini 4 Hydrogen (high) scores 63.4 and takes 16 s to its first answer token. GPT-5.3-Codex (xhigh) scores 62.9 and takes 44 s to its first answer token. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.

Every benchmark

62 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.

MetricPublisherGemini 4 Hydrogen (high)GPT-5.3-Codex (xhigh)
BenchLeader IndexBenchLeader63.462.9
Agents & tools scoreBenchLeader61.980.1
Coding scoreBenchLeader68.861.0
Human preference scoreBenchLeader68.2–
Knowledge scoreBenchLeader68.5–
Maths scoreBenchLeader67.8–
Reasoning scoreBenchLeader69.6–
Instruction following scoreBenchLeader–73.6
Long context scoreBenchLeader–66.4
Multimodal scoreBenchLeader–60.8
Blended price $/MBenchLeader$3.00$4.81
Output speedBenchLeader180 tok/s74 tok/s
Time to first answerBenchLeader16.4 s44.5 s
Context windowBenchLeader1,048,576 tokens400,000 tokens
Reasoning
Arena Hard PromptsArena (LMArena)1514–
LiveBench 2.0 ReasoningLiveBench88.6%†–
GPQA Diamond (AA)Artificial Analysis–91.5%
Humanity's Last Exam (AA)Artificial Analysis–42.5%
HLE-Diamond (AA)Artificial Analysis54.9%–
CritPtArtificial Analysis–16.9%
CritPt v2 hard subset (AA)Artificial Analysis61.5%–
Coding
SWE-bench Verified (Epoch)Epoch AI Benchmarking Hub–74.8%†
WeirdMLWeirdML–77.9%
Arena CodingArena (LMArena)1518–
Arena WebDevArena (LMArena)17041406†
LiveBench 2.0 CodingLiveBench78.5%†–
LiveCodeBenchVals AI–87.3%
IOIVals AI–53.8%
SWE-bench (Vals)Vals AI–78.0%
Vibe Code Bench v1.1Vals AI87.8%†61.8%
ALE-BenchEpoch AI Benchmarking Hub–1655.2
Terminal-Bench 4.0 (AA)Artificial Analysis54.0%–
Design Arena WebsiteDesign Arena1316†1154†
FrontierCode 2.0 (AA)Artificial Analysis36.3%–
Agents & tools
Terminal-BenchTerminal-Bench56.4%78.4%†
LiveBench Long AgenticLiveBench61.8%†–
LiveBench BrowserLiveBench77.1%†–
Terminal-Bench HardArtificial Analysis–53.0%
τ²-Bench Telecom (AA)Artificial Analysis–86.0%
Show all 62 benchmarks
MetricPublisherGemini 4 Hydrogen (high)GPT-5.3-Codex (xhigh)
Agents & tools
HiL-BenchScale AI SEAL–4.3%†
Finance Agent v2.1Vals AI65.1%†–
Harvey's Legal Agent Benchmark v1.1Vals AI11.3%†–
Legal Research BenchVals AI53.9%†–
Tax Agent BenchVals AI52.3%†–
Terminal-Bench 2.0 (Vals)Vals AI–64.0%†
Terminal-Bench 4.0 (Vals)Vals AI54.0%†–
METR Time HorizonsMETR–74.5%†
Vending-Bench 2Andon Labs–5940.1†
AutomationBenchArtificial Analysis74.4%–
GDP.pdf (AA)Artificial Analysis30.0%–
AA-Briefcase v1.1Artificial Analysis1497868
Design Arena AgenticDesign Arena–1010†
Terminal-Bench-Science 0.1 (AA)Artificial Analysis41.4%–
Maths
Arena MathsArena (LMArena)1495–
Knowledge
LiveBench 2.0 Data AnalysisLiveBench83.2%†–
LiveBench ResearchLiveBench86.8%†–
AA-Omniscience v1.1Artificial Analysis43.7–
Excel Modeling Benchmark v1.1Vals AI75.8%†–
AA-Omniscience v1.1: accuracyArtificial Analysis48.2%–
AA-Omniscience v1.1: non-hallucinationArtificial Analysis91.3%–
Instruction following
IFBenchArtificial Analysis–75.4%
Arena Instruction FollowingArena (LMArena)1503–
Human preference
Arena TextArena (LMArena)1490–
Arena Creative WritingArena (LMArena)1492–
Arena Multi-turnArena (LMArena)1476–
Arena Longer QueriesArena (LMArena)1514–
Multimodal
LiveBench DesignLiveBench77.3%†–
MMMU-ProArtificial Analysis–78.5%
Long context
AA-LCR v1.1Artificial Analysis–83.3%
MLCRArtificial Analysis21.1%†–
Composite
LiveBench 2.0LiveBench77.0%†–
AA Intelligence Index v5.0Artificial Analysis50.8–
AA Intelligence Index v4.3.2Artificial Analysis–32.5
AA Progress Index v1Artificial Analysis–301.3
Vals IndexVals AI68.5†–
Vals Finance IndexVals AI66.1%†–

Data as of 2026-11-13. Best configuration of each model; every score links to its source on the model pages.

What changed

  • Gemini 4 Hydrogen (high): 10 new results (Arena Text, Arena Hard Prompts, Arena Coding…).
  • GPT-5.3-Codex (xhigh): 1 new result (AA-Briefcase v1.1).
  • GPT-5.3-Codex (xhigh): 1 new result (AA Progress Index v1).

Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs

Gemini 4 Hydrogen vs GPT-5.3-Codex: questions

Is Gemini 4 Hydrogen better than GPT-5.3-Codex?
Gemini 4 Hydrogen (high) and GPT-5.3-Codex (xhigh) are neck and neck on quality (63.4 vs 62.9, within the ±7.3 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 13 Nov 2026, so check the category scores for your use.
Gemini 4 Hydrogen vs GPT-5.3-Codex: which is cheaper, and will that change?
Gemini 4 Hydrogen is cheaper today: $3.00 against $4.81 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
Is Gemini 4 Hydrogen or GPT-5.3-Codex better for coding?
Gemini 4 Hydrogen scores higher in coding (69 vs 61 on the category index, where 50 is average).
Which is faster, Gemini 4 Hydrogen or GPT-5.3-Codex?
Gemini 4 Hydrogen streams ~2× faster (180 vs 74 output tokens per second, Artificial Analysis 7-day median).
Is Gemini 4 Hydrogen or GPT-5.3-Codex better for agents and tool use?
GPT-5.3-Codex scores higher in agentic tasks (80 vs 62 on the category index, where 50 is average).
More questions (4)
Which is better for long documents?
Gemini 4 Hydrogen accepts more context: 1,048,576 against 400,000 tokens for GPT-5.3-Codex.
Which has lower latency?
Gemini 4 Hydrogen answers first: 16.4 s against 44.5 s to the first answer token, as Artificial Analysis measures it. Reasoning effort drives most of this: a higher setting thinks longer before it answers.
Do independent benchmarks agree on Gemini 4 Hydrogen vs GPT-5.3-Codex?
Across the 1 benchmarks both have, Gemini 4 Hydrogen leads 1, GPT-5.3-Codex leads 0.
When was Gemini 4 Hydrogen released?
Gemini 4 Hydrogen was released on 12 Nov 2026.