Model comparison
GPT-5.3-Codex vs Muse Spark 1.2
OpenAI against Meta, compared on context, price, and verified benchmark results.
Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below
OpenAI
GPT-5.3-Codex
Frontier
Meta
Muse Spark 1.2
Frontier
| Specification | GPT-5.3-Codex | Muse Spark 1.2 |
|---|---|---|
| Provider | ||
| Provider | OpenAI | Meta |
| Tier | ||
| Tier | Frontier | Frontier |
| Context window | ||
| Context window | 400K | Winner: 1.05M |
| Max output | ||
| Max output | 128K | Not verifiedUnverified |
| Input / 1M tokens | ||
| Input / 1M tokens | $1.75 | Winner: $1.25 |
| Output / 1M tokens | ||
| Output / 1M tokens | $14 | Winner: $4.25 |
| Weights | ||
| Weights | Closed | Closed |
| Parameters | ||
| Parameters | Not disclosedUnverified | Meta frontier model |
| Reasoning levels | ||
| Reasoning levels | low, medium, high, xhigh | minimal, low, medium, high, xhigh, max |
| Modalities | ||
| Modalities | text, image | text, image, video, audio, pdf |
| API model id | ||
| API model id | gpt-5.3-codex | muse-spark-1.2 |
| Released | ||
| Released | February 5, 2026 | August 5, 2026 |
| Artificial Analysis Intelligence Index [xhigh] (2026-09-26) | ||
| Artificial Analysis Intelligence Index [xhigh] (2026-09-26) | 32.5 | Winner: 39.6 |
Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.
Benchmark receipts
Where each score comes from, and how far it can be compared across models.
- 2026-09-26Artificial Analysis
Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.
Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check measuredAt.
Pricing tiers
GPT-5.3-Codex: Standard $1.75/$14 per MTok; cached input $0.175/MTok; Fast mode $3.50/$28. Still listed in the API as a coding-specialised model.
Muse Spark 1.2: $1.25/$4.25 per MTok on Meta's Model API (Standard tier shared with Muse Spark 1.3; cached input $0.15). Closed weights.
GPT-5.3-Codex
GPT-5.3-Codex is OpenAI's coding-specialised API model at $1.75/$14 — the Codex agent itself now runs GPT-6 Sol, Luna and Astra.
Best for
- Autonomous coding
- Repo-scale refactors
- Test generation
Watch out
Tuned for coding, not general chat; for new coding work compare GPT-6 Sol ($2/$10) first.
Muse Spark 1.2
Muse Spark 1.2 is Meta's closed frontier model until the 1.3 refresh (2026-09-02) — still served and ranked in the LMArena text top 10 as of mid-2026.
Best for
- Frontier reasoning
- Meta ecosystem
- Agentic work
Watch out
Closed-weights (unlike Llama 4); Meta's post-Llama-4 frontier branding.
When the cheaper one wins
Muse Spark 1.2 is cheaper on output at $4.25 per million tokens against $14 for GPT-5.3-Codex — about 3.3×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.
Run the model pickerEvidence confidence: High
How strong and complete the evidence behind this comparison is — not a prediction of which model is better.
- Pricing verified on both sides — Input and output rates are verified for both models.
- 3/5 core specs verified on both sides — Not published for at least one side: max output, parameter count.
- 1 shared named benchmark with differing scores — Measured on: Artificial Analysis Intelligence Index.
- Verified within the last 90 days — Newest catalog check was 2 days ago.
- Both models carry source citations — Each side has at least two catalog sources on record.
Source receipts
Each catalog figure was checked against the provider or an independent second source on the date shown.
- GPT-5.3-Codex: OpenAI — Introducing GPT-5.3-Codex (accessed 2026-08-29)
- GPT-5.3-Codex: OpenAI API pricing (gpt-5.3-codex $1.75/$14) (accessed 2026-08-29)
- Muse Spark 1.2: Meta — Muse (accessed 2026-08-29)
- Muse Spark 1.2: Muse version tracking (accessed 2026-08-29)
- Muse Spark 1.2: Meta Model API — pricing and rate limits (Standard tier $1.25/$4.25) (accessed 2026-09-26)
Related comparisons
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- Claude Fable 5 vs Muse Spark 1.2
- Claude Mythos 5.1 vs GPT-5.3-Codex
- Claude Mythos 5.1 vs Muse Spark 1.2
Diving deeper on one model? GPT-5.3-Codex · Muse Spark 1.2
Common questions
GPT-5.3-Codex vs Muse Spark 1.2
Answered from the verified figures on this page rather than general guidance.
Is GPT-5.3-Codex or Muse Spark 1.2 cheaper for input?
Is GPT-5.3-Codex or Muse Spark 1.2 cheaper for output?
Which has the larger context window, GPT-5.3-Codex or Muse Spark 1.2?
Do GPT-5.3-Codex and Muse Spark 1.2 support the same reasoning levels?
Should I use GPT-5.3-Codex or Muse Spark 1.2?
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Input price: Muse Spark 1.2 costs $1.25 per 1M tokens versus $1.75 for GPT-5.3-Codex — a 1.4x difference at the headline tier.
- Context: Muse Spark 1.2 takes 1.05M against 400K for GPT-5.3-Codex — only decisive if your prompts approach the smaller window.
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.