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GPT-5.3-Codex-Spark

Ranked 8 of 15 coding models by recommenders

Recommended for very fast coding-model output, around 1000 tokens per second, useful for quick edit and search loops. Caveats: small context window and weaker reasoning than regular Codex 5.3.

Recommended for very fast coding-model output, around 1000 tokens per second, useful for quick edit and search loops. Caveats: small context window and weaker reasoning than regular Codex 5.3.

61 people gave an opinion

recommend it
37
criticize it
24
approval share
61%
Each figure is one person. RecommendsCriticizes

Recommended in 6 of 13 months

  1. November 2025: not recommended
  2. December 2025: not recommended
  3. January 2026: not recommended
  4. February 2026: recommended
  5. March 2026: not recommended
  6. April 2026: recommended
  7. May 2026: recommended
  8. June 2026: recommended
  9. July 2026: recommended
  10. August 2026: recommended
  11. September 2026: not recommended
  12. October 2026: not recommended
  13. November 2026: not recommended (month in progress)

Why it doesn’t carry the badge

  • 37 people recommend itNeeds 10 or more, met.
  • 1.5 recommenders for every criticNeeds 2 to 1 or better, not met.
  • Recommended in 6 of 13 monthsNeeds 4 or more, met.

The same three rules apply to every product, and the badge can’t be bought. How the badge works

What people say about it

The reasons people give, with the number of comments that give each one. Open a reason to read what they said.

Why people recommend it

Each mark is one comment

  • Very fast token output

    “It definitely makes more mistakes than Codex-5.3, but the speed is something to behold.”

    Comment from 13 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

    “found the speed of codex-spark to be important for making progress quickly”

    Comment from 27 Jun 2026 in “Previewing GPT‑5.6 Sol: a next-generation model”

    “Not quite 17k tok/s, but _very_ fast nonetheless. Worth a look.”

    Comment from 2 Jun 2026 in “Chipotlai Max”
  • Surprisingly capable for its size

    “it's 1000 TPS and from my experience more capable than 5.4 mini”

    Comment from 26 Jun 2026 in “Previewing GPT‑5.6 Sol: a next-generation model”

    “it can be surprisingly good and it’s super fast”

    Comment from 14 Jun 2026 in “Don't trust large context windows”

    “a fast and light model can do great things”

    Comment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”
  • Good for bulk and cleanup tasks

    “I used GPT-5.5-3-Codex-Spark for ALL the fuzzing, as barely any "thought" is necessary when provided with an efficient harness.”

    Comment from 28 Jun 2026 in “Anonymous GitHub account mass-dropping undisclosed 0-days”

    “Spark is great for this kind of cleanup work because the feedback loop is so tight”

    Comment from 9 Apr 2026 in “Claude Code is locking people out for hours”

    “This is great for bulk tasks: renaming, finding and searching for things”

    Comment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”
  • Large wall-clock time savings

    “Observed roughly 5x wall-clock improvement for implementation work.”

    Comment from 14 Feb 2026 in “15× vs. ~1.37×: Recalculating GPT-5.3-Codex-Spark on SWE-Bench Pro”

    “That it’s still significantly faster at the same accuracy is wild.”

    Comment from 13 Feb 2026 in “15× vs. ~1.37×: Recalculating GPT-5.3-Codex-Spark on SWE-Bench Pro”

What people warn about

Each mark is one comment

  • Small context window

    “Spark can run at >1000 tok/s but it's highly limited in it's context window size”

    Comment from 26 Jun 2026 in “Previewing GPT‑5.6 Sol: a next-generation model”

    “very fast but tiny context window and doesn't have good reasoning”

    Comment from 26 Jun 2026 in “Previewing GPT‑5.6 Sol: a next-generation model”

    “1000tok/s just fills up the context window”

    Comment from 26 Jun 2026 in “Previewing GPT‑5.6 Sol: a next-generation model”
  • Weaker than regular Codex models

    “I think it's rarely worth the extra friction of switching from regular 5.3 to 5.3-spark.”

    Comment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

    “It definitely makes more mistakes than Codex-5.3, but the speed is something to behold.”

    Comment from 13 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

    “performance is significantly below that of the regular Codex 5.3, and can only handle a 128k text context window”

    Comment from 18 Apr 2026 in “Cerebras S-1”
  • Introduces bugs and low quality code

    “It definitely makes more mistakes than Codex-5.3, but the speed is something to behold.”

    Comment from 13 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

    “too dumb for QA in complex codebases (for now)”

    Comment from 13 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

    “my team still spends hours fixing subtle bugs the model introduces”

    Comment from 13 Feb 2026 in “GPT‑5.3‑Codex‑Spark”
  • Wasteful token use and loops

    “it spun around in circles cycling through files and finally abandoned saying it ran out of tokens”

    Comment from 6 Mar 2026 in “GPT-5.4 Thinking System Card”

    “Their ability to burn through tokens non-stop for hours, days or weeks without intervention.”

    Comment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

Other coding models people recommend

The four most recommended other coding models, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.

GPT-5.3-Codex-Spark compared with 4 alternatives
ProductRecommendCriticizeApprovalMonthsOwnedBadge
Cursor Composer2147973%121 mo11 ownersApproved
Qwen3-Coder1654977%122 mo7 ownersApproved
GPT-5.3-Codex1357863%112 mo4 owners—
Meta Muse Glimmer 30B701880%3——
GPT-5.3-Codex-SparkThis page372461%6——
See all 15 coding models, ranked

What people said

40 of the 68 comments that mention it, newest first. Each links to the original comment.

“I used GPT-5.5-3-Codex-Spark for ALL the fuzzing, as barely any "thought" is necessary when provided with an efficient harness.”

RecommendsComment from 28 Jun 2026 in “Anonymous GitHub account mass-dropping undisclosed 0-days”

“found the speed of codex-spark to be important for making progress quickly”

RecommendsComment from 27 Jun 2026 in “Previewing GPT‑5.6 Sol: a next-generation model”

“Spark can run at >1000 tok/s but it's highly limited in it's context window size”

MixedComment from 26 Jun 2026 in “Previewing GPT‑5.6 Sol: a next-generation model”

“1000tok/s just fills up the context window”

MixedComment from 26 Jun 2026 in “Previewing GPT‑5.6 Sol: a next-generation model”

“very fast but tiny context window and doesn't have good reasoning”

MixedComment from 26 Jun 2026 in “Previewing GPT‑5.6 Sol: a next-generation model”

“it's 1000 TPS and from my experience more capable than 5.4 mini”

RecommendsComment from 26 Jun 2026 in “Previewing GPT‑5.6 Sol: a next-generation model”

“it can be surprisingly good and it’s super fast”

MixedComment from 14 Jun 2026 in “Don't trust large context windows”

“Not quite 17k tok/s, but _very_ fast nonetheless. Worth a look.”

RecommendsComment from 2 Jun 2026 in “Chipotlai Max”

“You can run the new gemini flash or 5.3 codex spark at 1000+tps”

RecommendsComment from 17 May 2026 in “Every AI Subscription Is a Ticking Time Bomb for Enterprise”

“performance is significantly below that of the regular Codex 5.3, and can only handle a 128k text context window”

CriticizesComment from 18 Apr 2026 in “Cerebras S-1”

“GPT spark got me excited again, but somehow that seems to have faded right back into obscurity.”

MixedComment from 17 Apr 2026 in “Cerebras S-1”

“it has much faster inference, might be able to keep up”

RecommendsComment from 14 Apr 2026 in “Can Claude Fly a Plane?”

“Spark is great for this kind of cleanup work because the feedback loop is so tight”

RecommendsComment from 9 Apr 2026 in “Claude Code is locking people out for hours”

“it spun around in circles cycling through files and finally abandoned saying it ran out of tokens”

CriticizesComment from 6 Mar 2026 in “GPT-5.4 Thinking System Card”

“The explore step with Codex-5.3-Spark and Opus 4.6 Fast both feel incredible.”

RecommendsComment from 27 Feb 2026 in “Mercury 2: The fastest reasoning LLM, powered by diffusion”

“the progress is still incredibly impressive even if 15× is overstated”

MixedComment from 14 Feb 2026 in “15× vs. ~1.37×: Recalculating GPT-5.3-Codex-Spark on SWE-Bench Pro”

“efficiency per token has tanked but it's still faster”

MixedComment from 14 Feb 2026 in “15× vs. ~1.37×: Recalculating GPT-5.3-Codex-Spark on SWE-Bench Pro”

“Observed roughly 5x wall-clock improvement for implementation work.”

RecommendsComment from 14 Feb 2026 in “15× vs. ~1.37×: Recalculating GPT-5.3-Codex-Spark on SWE-Bench Pro”

“That it’s still significantly faster at the same accuracy is wild.”

RecommendsComment from 13 Feb 2026 in “15× vs. ~1.37×: Recalculating GPT-5.3-Codex-Spark on SWE-Bench Pro”

“Pretty solid, nothing revolutionary (outside of speed).”

MixedComment from 13 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“too dumb for QA in complex codebases (for now)”

MixedComment from 13 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“my team still spends hours fixing subtle bugs the model introduces”

CriticizesComment from 13 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“1000+ tok/s changes how you interact with a coding model.”

MixedComment from 13 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“Looked fine at first but was utter slop upon further review.”

CriticizesComment from 13 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“It's a large step down on the benchmarks to get lower latency.”

CriticizesComment from 13 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“it's been butchering relatively easy to moderate tasks for me”

CriticizesComment from 13 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“Codex Spark was so fast because it noticed that bluey announces the episode names in the episode”

MixedComment from 13 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“It definitely makes more mistakes than Codex-5.3, but the speed is something to behold.”

MixedComment from 13 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“I was pleasantly suprised.”

RecommendsComment from 13 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“I think it's rarely worth the extra friction of switching from regular 5.3 to 5.3-spark.”

MixedComment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“The speed is really enjoyable.”

RecommendsComment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“a fast and light model can do great things”

RecommendsComment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“Blazing fast but it definitely has a small model feel.”

MixedComment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“Small code edits, like they are presented as the use case here, I can do much better myself”

CriticizesComment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“Great stuff. People are getting used to agents as the interface for everything”

RecommendsComment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“Their ability to burn through tokens non-stop for hours, days or weeks without intervention.”

CriticizesComment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“I have yet to see this (produce anything actually useful).”

CriticizesComment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“it looks like a leap in speed now”

RecommendsComment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“This is great for bulk tasks: renaming, finding and searching for things”

RecommendsComment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

“Normal codex it self is sub par compared to opus. This might be even worse”

CriticizesComment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”

Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.