BenchLeader

GPT-5.3-Codex vs GPT-5.6 Sol

Verdict
  • GPT-5.6 Sol (high) leads on quality: 68.2 vs 62.5.
  • GPT-5.3-Codex is stronger in instruction following, long context.
  • GPT-5.6 Sol (high) is stronger in agents & tools, coding, composite, knowledge, multimodal, reasoning.
  • GPT-5.3-Codex is 1.7× cheaper ($4.81 vs $8.00 per 1M blended).
  • GPT-5.3-Codex streams 2.1× faster (121 vs 59 tokens per second).
MetricGPT-5.3-CodexGPT-5.6 Sol (high)
BenchLeader Index62.568.2
Agents & tools score62.787.9
Coding score54.872.4
Composite score70.182.7
Instruction following score73.267.8
Knowledge score69.373.8
Long context score68.367.4
Multimodal score63.066.4
Reasoning score63.3
Blended price $/M$4.81$8.00
Output speed121 tok/s59 tok/s
Time to first answer58.2 s31.0 s
Context window400k1M
Terminal-Bench78.4%
SciCode56.9%
WeirdML79.3%88.8%
APEX-Agents31.8%
Epoch Capabilities Index156.6
LMArena WebDev1409
AA Intelligence Index32.542.5
IFBench75.4%69.2%
AA-LCR83.3%81.7%
MMMU-Pro78.5%81.8%
AA-Omniscience10.920.4
Terminal-Bench Hard53.0%62.1%
GPQA Diamond (AA)91.5%92.8%
Humanity's Last Exam (AA)42.5%46.0%
SciCode (AA)57.8%
τ²-Bench Telecom (AA)86.0%83.3%
EnigmaEval37.1%
HiL-Bench4.3%
ARC-AGI-197.0%
ARC-AGI-285.4%
ARC-AGI-32.2%

Data as of 2026-09-10. Best configuration of each model; every score links to its source on the model pages.

GPT-5.3-Codex vs GPT-5.6 Sol: questions

Is GPT-5.3-Codex better than GPT-5.6 Sol?
GPT-5.6 Sol (high) leads on quality: 68.2 vs 62.5. The BenchLeader Index combines every independent quality benchmark; GPT-5.6 Sol (high) is ahead overall as of 2026-09-10, but check the category scores for your use.
Is GPT-5.3-Codex better than GPT-5.6 Sol for coding?
GPT-5.6 Sol scores higher in coding (72 vs 55 on the category index, where 50 is average).
Is GPT-5.3-Codex better than GPT-5.6 Sol for agentic tasks?
GPT-5.6 Sol scores higher in agentic tasks (88 vs 63 on the category index, where 50 is average).
Which is cheaper, GPT-5.3-Codex or GPT-5.6 Sol?
GPT-5.3-Codex is cheaper: $4.81 against $8.00 per million tokens, blended at three input tokens per output token.
Which is faster, GPT-5.3-Codex or GPT-5.6 Sol?
GPT-5.3-Codex streams faster: 121 against 59 output tokens per second.
Which has the larger context window?
GPT-5.6 Sol accepts more context: 1M against 400k tokens.