Model comparison
GPT-5-Codex vs Solar Pro4
Solar Pro4 is the stronger model overall, scoring 42.1 to 37.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
UpstageSummary
- Solar Pro4 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- Solar Pro4 accepts more context: 524K tokens versus 400K.
Side by side
| GPT-5-Codex | Solar Pro4 | |
|---|---|---|
| Provider | OpenAI | Upstage |
| Noometry Index | 37.9 | 42.1 |
| Released | 2025-09-15 | 2026-08-06 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 524K |
| Max output | 128K | 131K |
| Input $ / M tokens | $1.25 | $0.30 |
| Output $ / M tokens | $10 | $1.20 |
| Results tracked | 3 | 18 |
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Category by category
Coding GPT-5-Codex leads
GPT-5-Codex: 42.4 (#103), Solar Pro4: 40.1 (#149)
| Benchmark | GPT-5-Codex | Solar Pro4 |
|---|---|---|
| LMArena WebDev | — | 1371 |
| WeirdML | 54.5% | — |
| LMArena Coding | — | 1437 |
Agentic & Tool Use Not comparable
GPT-5-Codex: 31.0 (#72), Solar Pro4: —
| Benchmark | GPT-5-Codex | Solar Pro4 |
|---|---|---|
| Terminal-Bench | 44.3% | — |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.9 (#83), Solar Pro4: 28.5 (#104)
| Benchmark | GPT-5-Codex | Solar Pro4 |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| LMArena Hard Prompts | — | 1399 |
Math Not comparable
GPT-5-Codex: —, Solar Pro4: 38.8 (#128)
| Benchmark | GPT-5-Codex | Solar Pro4 |
|---|---|---|
| LMArena Math | — | 1416 |
Knowledge Not comparable
GPT-5-Codex: —, Solar Pro4: 39.8 (#129)
| Benchmark | GPT-5-Codex | Solar Pro4 |
|---|---|---|
| LMArena Expert | — | 1427 |
Multilingual Not comparable
GPT-5-Codex: —, Solar Pro4: 48.7 (#139)
| Benchmark | GPT-5-Codex | Solar Pro4 |
|---|---|---|
| LMArena Non-English | — | 1361 |
| LMArena Chinese | — | 1415 |
| LMArena French | — | 1397 |
| LMArena German | — | 1364 |
| LMArena Japanese | — | 1309 |
| LMArena Korean | — | 1382 |
| LMArena Russian | — | 1360 |
| LMArena Spanish | — | 1401 |
Instruction Following Not comparable
GPT-5-Codex: —, Solar Pro4: 72.7 (#132)
| Benchmark | GPT-5-Codex | Solar Pro4 |
|---|---|---|
| LMArena Instruction Following | — | 1377 |
Long Context Not comparable
GPT-5-Codex: —, Solar Pro4: 42.1 (#130)
| Benchmark | GPT-5-Codex | Solar Pro4 |
|---|---|---|
| LMArena Longer Query | — | 1381 |
Writing & Preference Not comparable
GPT-5-Codex: —, Solar Pro4: 56.5 (#138)
| Benchmark | GPT-5-Codex | Solar Pro4 |
|---|---|---|
| LMArena Text | — | 1386 |
| LMArena Creative Writing | — | 1316 |
| LMArena Multi-Turn | — | 1385 |
Frequently asked questions
Is GPT-5-Codex better than Solar Pro4?
Solar Pro4 is the stronger model overall, scoring 42.1 to 37.9 on the Noometry Index.
Which is cheaper, GPT-5-Codex or Solar Pro4?
Solar Pro4 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GPT-5-Codex lists at $1.25 and $10.
Is GPT-5-Codex or Solar Pro4 better for coding?
GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 40.1 in the Noometry coding category.
Which has the bigger context window?
Solar Pro4 does, with 524K tokens against 400K.
How many benchmarks do GPT-5-Codex and Solar Pro4 share?
0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Solar Pro4 has 18.