Model comparison
GPT-5.3-Codex-Spark vs Trinity-Large-Preview
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.3-Codex-Spark #73 (Estimated); Trinity-Large-Preview #79 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.3-Codex-Spark and Trinity-Large-Preview share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to GPT-5.3-Codex-Spark; 18 to Trinity-Large-Preview.
Updated July 21, 2026- Shared results
- 0
- GPT-5.3-Codex-Spark only
- 0
- Trinity-Large-Preview only
- 18
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.3-Codex-Spark and Trinity-Large-Preview is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM does not have sourced benchmark coverage for GPT-5.3-Codex-Spark yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Trinity-Large-Preview has the larger context window at 512K, compared with 256K for GPT-5.3-Codex-Spark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.3-Codex-Spark | Trinity-Large-Preview | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.3-Codex-SparkNot available | Trinity-Large-Preview$0.25 input / $1 output | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.3-Codex-SparkNot available | Trinity-Large-PreviewNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.3-Codex-SparkNot available | Trinity-Large-PreviewNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.3-Codex-Spark256K | Trinity-Large-Preview512K | Trinity-Large-Preview lists the larger context window. |
Benchmark Deep Dive
Agentic3 benchmarks
Coding1 benchmarks
| Benchmark | GPT-5.3-Codex-Spark | Trinity-Large-Preview | Result |
|---|---|---|---|
| AA-SciCodeSource | — | 36.1% | Not comparable |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | GPT-5.3-Codex-Spark | Trinity-Large-Preview | Result |
|---|---|---|---|
| MMLUSource | — | 87.2% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 75.2% | Not comparable |
| GPQA-DSource | — | 63.3% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 24.5% | Not comparable |
| AA-GPQA DiamondSource | — | 75.2% | Not comparable |
| AA-HLESource | — | 14.7% | Not comparable |
| AA-Omniscience IndexSource | — | -44.2% | Not comparable |
| AA-Omniscience AccuracySource | — | 22.8% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 86.6% | Not comparable |
Math1 benchmarks
| Benchmark | GPT-5.3-Codex-Spark | Trinity-Large-Preview | Result |
|---|---|---|---|
| AIME25 (Arcee)Source | — | 24.0% | Not comparable |
Multimodal1 benchmarks
| Benchmark | GPT-5.3-Codex-Spark | Trinity-Large-Preview | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1165 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-5.3-Codex-Spark | Trinity-Large-Preview | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 56.3% | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-5.3-Codex-Spark and Trinity-Large-Preview on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GPT-5.3-Codex-Spark and Trinity-Large-Preview today?
GPT-5.3-Codex-Spark: Pricing unavailable Trinity-Large-Preview: $0.25 input / $1.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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