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%
Recommended in 6 of 13 months
- November 2025: not recommended
- December 2025: not recommended
- January 2026: not recommended
- February 2026: recommended
- March 2026: not recommended
- April 2026: recommended
- May 2026: recommended
- June 2026: recommended
- July 2026: recommended
- August 2026: recommended
- September 2026: not recommended
- October 2026: not recommended
- 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” - Comment from 26 Jun 2026 in “Previewing GPT‑5.6 Sol: a next-generation model”
- Comment from 17 May 2026 in “Every AI Subscription Is a Ticking Time Bomb for Enterprise”
- Comment from 13 Feb 2026 in “GPT‑5.3‑Codex‑Spark”
- Comment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”
- Comment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”
- Comment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”
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” - Comment from 13 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” - Comment from 18 Apr 2026 in “Cerebras S-1”
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” - Comment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”
- Comment from 12 Feb 2026 in “GPT‑5.3‑Codex‑Spark”
- Comment from 13 Feb 2026 in “GPT‑5.3‑Codex‑Spark”
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” - Comment from 13 Feb 2026 in “GPT‑5.3‑Codex‑Spark”
- Comment from 13 Feb 2026 in “GPT‑5.3‑Codex‑Spark”
- Comment from 12 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.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| Cursor Composer | 214 | 79 | 73% | 12 | 1 mo11 owners | Approved |
| Qwen3-Coder | 165 | 49 | 77% | 12 | 2 mo7 owners | Approved |
| GPT-5.3-Codex | 135 | 78 | 63% | 11 | 2 mo4 owners | — |
| Meta Muse Glimmer 30B | 70 | 18 | 80% | 3 | — | — |
| GPT-5.3-Codex-SparkThis page | 37 | 24 | 61% | 6 | — | — |
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.”
“found the speed of codex-spark to be important for making progress quickly”
“Spark can run at >1000 tok/s but it's highly limited in it's context window size”
“1000tok/s just fills up the context window”
“very fast but tiny context window and doesn't have good reasoning”
“it's 1000 TPS and from my experience more capable than 5.4 mini”
“it can be surprisingly good and it’s super fast”
“Not quite 17k tok/s, but _very_ fast nonetheless. Worth a look.”
“You can run the new gemini flash or 5.3 codex spark at 1000+tps”
“performance is significantly below that of the regular Codex 5.3, and can only handle a 128k text context window”
“GPT spark got me excited again, but somehow that seems to have faded right back into obscurity.”
“it has much faster inference, might be able to keep up”
“Spark is great for this kind of cleanup work because the feedback loop is so tight”
“it spun around in circles cycling through files and finally abandoned saying it ran out of tokens”
“The explore step with Codex-5.3-Spark and Opus 4.6 Fast both feel incredible.”
“the progress is still incredibly impressive even if 15× is overstated”
“efficiency per token has tanked but it's still faster”
“Observed roughly 5x wall-clock improvement for implementation work.”
“That it’s still significantly faster at the same accuracy is wild.”
“Pretty solid, nothing revolutionary (outside of speed).”
“too dumb for QA in complex codebases (for now)”
“my team still spends hours fixing subtle bugs the model introduces”
“1000+ tok/s changes how you interact with a coding model.”
“Looked fine at first but was utter slop upon further review.”
“It's a large step down on the benchmarks to get lower latency.”
“it's been butchering relatively easy to moderate tasks for me”
“Codex Spark was so fast because it noticed that bluey announces the episode names in the episode”
“It definitely makes more mistakes than Codex-5.3, but the speed is something to behold.”
“I was pleasantly suprised.”
“I think it's rarely worth the extra friction of switching from regular 5.3 to 5.3-spark.”
“The speed is really enjoyable.”
“a fast and light model can do great things”
“Blazing fast but it definitely has a small model feel.”
“Small code edits, like they are presented as the use case here, I can do much better myself”
“Great stuff. People are getting used to agents as the interface for everything”
“Their ability to burn through tokens non-stop for hours, days or weeks without intervention.”
“I have yet to see this (produce anything actually useful).”
“it looks like a leap in speed now”
“This is great for bulk tasks: renaming, finding and searching for things”
“Normal codex it self is sub par compared to opus. This might be even worse”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.