GEM-4C 581 —
GPT-61S 577 —
CL-SN55 575 —
CL-OP55 574 —
GEM-4CM 569 —
GPT-61TERR 567 —
CL-OP55EH 564 —
GPT-61SOLXH 561 —
GPT-61SOLH 547 —
CL-SN55XH 542 —
GEM-4CL 541 —
CL-OP55H 527 —
GPT-61TERRXH 525 —
GEM-4AR 518 —
GPT-61SOLM 518 —
KIMI-K31P 517 —
GPT-61TERRH 506 —
CL-OP55M 501 —
MUSE-WONDFUL 498 —
CL-SN55H 483 —
GPT-61TERRM 477 —
CL-HK55 477 —
GPT-6A 473 —
MUSE-WOND 468 —
CL-HK55XH 464 —
GPT-6ASTRXH 462 —
GPT-6ASTRH 459 —
GROK-47 454 +1.6%
GROK-47H 451 —
DSK-V-340615 449 —
QWEN-38X 441 —
GPT-61SOLL 437 —
GPT-6ASTRM 435 —
GLM-53 433 —
MIMO-V26P 431 —
CL-HK55H 431 —
GEM-38F 428 —
LING-31F1019 428 —
MMAX-M31F 426 —
GEM-38FM 424 —
CL-FABL51XH 423 —
GPT-61TERRNO 423 —
GROK-47L 422 —
DSK-V-3E48BD 421 —
CL-FABL51 418 —
GPT-6L 418 —
GLM-53F 418 —
STEP-5 416 —
GPT-61TERRL 415 —
MIMO-V26F 411 —
CL-OP55L 407 —
CL-SN55M 407 —
CL-FABL51H 404 —
MIST-LARG4 401 —
CL-HK55M 395 —
GPT-6LUNAXH 387 —
MUSE-SPAROPE 385 —
MIST-LARG4M 380 —
GPT-6ASTRL 376 —
CL-FABL51M 376 —
DSK-V4P 374 —
GLM-53L 373 —
GPT-6LUNAH 373 —
CL-SN55L 372 —
GEM-38FL 370 —
QWEN-827B 357 —
CL-HK55L 354 —
MMAX-M3 352 —
GPT-6LUNAM 352 —
DSK-V-02811D 351 —
K2-HORI375BA 349 —
REFL-BEAM 345 —
CL-FABL51L 344 —
QWEN-827BM 338 —
QWEN-827BL 326 —
NEMO-35SUPEV 319 —
INKL 300 —
NVID-NEMO3UL 299 —
GEM-35FLITE 299 —
NANB-333B 293 —
GPT-6LUNAL 291 —
GPT-6LUNANON 289 —
QWEN-827BNON 286 —
COMM-APLUS 269 —
MUSE-GLIM 266 —
NEMO-35LIGH 263 —
GRAN-428B 260 +16.1%
MIST-SMAL4 253 —
INKL-SM 241 —
GEMM-431B 225 —
GEMM-4E4B 225 —
GEMM-4E4BNON 225 —
LING-30TINY 225 —
MINI-33B 225 —
NORT-MCODE 225 —
NOVA-MICR 225 —
NVID--ADE3B4 225 —
QWEN-54B 225 —
QWEN-54BNONR 225 —
TINY-AYAGLOB 225 —
GEM-4C 581 —
GPT-61S 577 —
CL-SN55 575 —
CL-OP55 574 —
GEM-4CM 569 —
GPT-61TERR 567 —
CL-OP55EH 564 —
GPT-61SOLXH 561 —
GPT-61SOLH 547 —
CL-SN55XH 542 —
GEM-4CL 541 —
CL-OP55H 527 —
GPT-61TERRXH 525 —
GEM-4AR 518 —
GPT-61SOLM 518 —
KIMI-K31P 517 —
GPT-61TERRH 506 —
CL-OP55M 501 —
MUSE-WONDFUL 498 —
CL-SN55H 483 —
GPT-61TERRM 477 —
CL-HK55 477 —
GPT-6A 473 —
MUSE-WOND 468 —
CL-HK55XH 464 —
GPT-6ASTRXH 462 —
GPT-6ASTRH 459 —
GROK-47 454 +1.6%
GROK-47H 451 —
DSK-V-340615 449 —
QWEN-38X 441 —
GPT-61SOLL 437 —
GPT-6ASTRM 435 —
GLM-53 433 —
MIMO-V26P 431 —
CL-HK55H 431 —
GEM-38F 428 —
LING-31F1019 428 —
MMAX-M31F 426 —
GEM-38FM 424 —
CL-FABL51XH 423 —
GPT-61TERRNO 423 —
GROK-47L 422 —
DSK-V-3E48BD 421 —
CL-FABL51 418 —
GPT-6L 418 —
GLM-53F 418 —
STEP-5 416 —
GPT-61TERRL 415 —
MIMO-V26F 411 —
CL-OP55L 407 —
CL-SN55M 407 —
CL-FABL51H 404 —
MIST-LARG4 401 —
CL-HK55M 395 —
GPT-6LUNAXH 387 —
MUSE-SPAROPE 385 —
MIST-LARG4M 380 —
GPT-6ASTRL 376 —
CL-FABL51M 376 —
DSK-V4P 374 —
GLM-53L 373 —
GPT-6LUNAH 373 —
CL-SN55L 372 —
GEM-38FL 370 —
QWEN-827B 357 —
CL-HK55L 354 —
MMAX-M3 352 —
GPT-6LUNAM 352 —
DSK-V-02811D 351 —
K2-HORI375BA 349 —
REFL-BEAM 345 —
CL-FABL51L 344 —
QWEN-827BM 338 —
QWEN-827BL 326 —
NEMO-35SUPEV 319 —
INKL 300 —
NVID-NEMO3UL 299 —
GEM-35FLITE 299 —
NANB-333B 293 —
GPT-6LUNAL 291 —
GPT-6LUNANON 289 —
QWEN-827BNON 286 —
COMM-APLUS 269 —
MUSE-GLIM 266 —
NEMO-35LIGH 263 —
GRAN-428B 260 +16.1%
MIST-SMAL4 253 —
INKL-SM 241 —
GEMM-431B 225 —
GEMM-4E4B 225 —
GEMM-4E4BNON 225 —
LING-30TINY 225 —
MINI-33B 225 —
NORT-MCODE 225 —
NOVA-MICR 225 —
NVID--ADE3B4 225 —
QWEN-54B 225 —
QWEN-54BNONR 225 —
TINY-AYAGLOB 225 —

Some supplementary benchmark or Arena observations are delayed.

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OpenAI Launches GPT-5.5: 82.7% Terminal-Bench, 58.6% SWE-Bench Pro, Cheaper Per Codex Task

OpenAI released GPT-5.5 — codenamed Spud — on April 23, rolling it out to Plus, Pro, Business, and Enterprise tiers in ChatGPT and Codex. GPT-5.5 Pro, the extended-capability variant, goes to Pro, Business, and Enterprise users only. API availability is listed as coming “very soon,” pending safety requirements for scale deployment.

Benchmark Numbers

EvalGPT-5.5GPT-5.4Claude Opus 4.7Gemini 3.1 Pro
Terminal-Bench 2.082.7%75.1%69.4%68.5%
Expert-SWE (internal)73.1%68.5%——
GDPval (wins/ties)84.9%83.0%80.3%67.3%
OSWorld-Verified78.7%75.0%78.0%—
FrontierMath Tier 1–351.7%47.6%43.8%36.9%
FrontierMath Tier 435.4%27.1%22.9%16.7%
CyberGym81.8%79.0%73.1%—
BrowseComp84.4%82.7%79.3%85.9%
SWE-Bench Pro58.6%———

The Terminal-Bench 2.0 score is corroborated by the independent leaderboard at tbench.ai, where Codex running GPT-5.5 entered at 82.0%, clearing ForgeCode+GPT-5.4’s prior top score of 81.8%. The gap between OpenAI’s 82.7% figure and the leaderboard’s 82.0% reflects different agent configurations and k-values used in each run.

Efficiency Angle

OpenAI describes GPT-5.5 as “more efficient as well as more capable”: it completes identical Codex tasks with fewer tokens than GPT-5.4, and matches GPT-5.4’s per-token latency in real-world serving despite the intelligence step-up. On Artificial Analysis’s Coding Index, it posts state-of-the-art scores at roughly half the cost of competitive frontier coding models, according to OpenAI’s release notes — a direct response to Anthropic’s pricing pressure from Opus 4.7.

Where the Gains Are

Strongest improvements over GPT-5.4 land in agentic coding (FrontierMath Tier 4: +30.6% relative), OSWorld computer use (+4.9%), and Expert-SWE long-horizon tasks. BrowseComp web research improves slightly; CyberGym shows a 3.5-point gain.

Early testers cited the model’s ability to hold context across large systems and reason through ambiguous failures without explicit prompting. Cursor CEO Michael Truell noted GPT-5.5 “stays on task significantly longer without stopping early” compared to GPT-5.4. One NVIDIA engineer with early access reportedly described losing access as “having a limb amputated.”

What Is Not Changed

Pricing has not been announced for the API tier. GPT-5.5 is not yet available to free-tier ChatGPT users. No context window or multimodal changes were published alongside the release. Safety and preparedness testing involved “nearly 200 trusted early-access partners” before launch, with targeted testing for cybersecurity and biology capability.

The Codex-first rollout and the framing around “getting work done on a computer” positions GPT-5.5 as OpenAI’s answer to Claude Code — directly competing on the agentic coding workflows Anthropic has been optimizing for since late 2025.