GPT-3.5 Turbo (older v0613) vs GPT-5
GPT-3.5 Turbo (older v0613) costs 5.0x less per output token than GPT-5 ($2.00 vs $10.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $2.00
- Coding
- 38.8
- Overall
- 51.5
- Output $/M
- $10.00
GPT-3.5 Turbo (older v0613) or GPT-5: which to pick
Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; GPT-3.5 Turbo (older v0613) has none, so the two cannot be ranked on coding.
Pick GPT-3.5 Turbo (older v0613) for output tokens 5.0x cheaper ($2.00 vs $10.00 per million).
No benchmark has tested both yet. GPT-3.5 Turbo (older v0613) has results on GSM8K, MMLU and WinoGrande; GPT-5 on Aider polyglot, SWE-bench Verified and LMArena WebDev. Compare them on price and context instead.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only GPT-5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only GPT-5 has a AA Intelligence Index result, 23.0.
Directional only
Reasoning
GPQA Diamond
No call
Only GPT-5 has a GPQA Diamond result, 85.6%.
Directional only
Math
AIME
No call
Only GPT-5 has a AIME result, 93.4%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5 has a MMLU Pro result, 86.5%.
Directional only
Web design
Design Arena: websites
No call
Only GPT-5 has a Design Arena: websites result, 1184.
Directional only
Long documents
Listed context window
GPT-5
GPT-5 takes 400K tokens against 4K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-3.5 Turbo (older v0613)
GPT-3.5 Turbo (older v0613) $0.0020, GPT-5 $0.0063 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5 has the number, $0.39.
Directional only
At a glance
- Coding index
- GPT-3.5 Turbo (older v0613) not benchmarked, GPT-5 38.8 from 3 benchmarks.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- GPT-3.5 Turbo (older v0613) $2.00 against GPT-5 $10.00 per million output tokens, 5.0x apart.
- Context window
- GPT-3.5 Turbo (older v0613) takes 4K tokens, GPT-5 400K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index17 boards measured
| Benchmark | GPT-3.5 Turbo (older v0613) | GPT-5 | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 88.0% | Only GPT-5 measured |
| SWE-bench Verified | Not measured | 74.4% | Only GPT-5 measured |
| LMArena WebDev | Not measured | 1418 | Only GPT-5 measured |
| AA Coding Index | Not measured | 37.8 | Only GPT-5 measured |
| LiveCodeBench (Vals AI) | Not measured | 85.9% | Only GPT-5 measured |
| SWE-bench Verified (Vals AI) | Not measured | 69.0% | Only GPT-5 measured |
| Vibe Code Bench (Vals AI) | Not measured | 20.1% | Only GPT-5 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 84.6% | Only GPT-5 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 37.9% | Only GPT-5 measured |
| Terminal-Bench | Not measured | 49.6% | Only GPT-5 measured |
| GSO-Bench | Not measured | 6.9% | Only GPT-5 measured |
| WeirdML | Not measured | 60.7% | Only GPT-5 measured |
| ALE-Bench | Not measured | 807.6 | Only GPT-5 measured |
| LMArena Text: coding | Not measured | 1436 | Only GPT-5 measured |
| LMArena Text: software and IT | Not measured | 1420 | Only GPT-5 measured |
| LMArena WebDev: HTML | Not measured | 1427 | Only GPT-5 measured |
| SciCode | Not measured | 0.0% | Only GPT-5 measured |
| Neither model has a result on the other 26 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | GPT-3.5 Turbo (older v0613) | GPT-5 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 23.0 | Only GPT-5 measured |
| Epoch Capabilities Index | Not measured | 150.0 | Only GPT-5 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
| Benchmark | GPT-3.5 Turbo (older v0613) | GPT-5 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | Not measured | 86.5% | Only GPT-5 measured |
| METR time horizons | Not measured | 69.6% | Only GPT-5 measured |
| Remote Labor Index | Not measured | 1.7% | Only GPT-5 measured |
| GDPval | Not measured | 34.8% | Only GPT-5 measured |
| BALROG | Not measured | 32.8% | Only GPT-5 measured |
| DeepResearch Bench | Not measured | 49.6% | Only GPT-5 measured |
| BrowseComp-Plus | Not measured | 80.0% | Only GPT-5 measured |
| Neither model has a result on the other 35 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index18 boards measured
| Benchmark | GPT-3.5 Turbo (older v0613) | GPT-5 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 85.6% | Only GPT-5 measured |
| MMMU Pro (Vals AI) | Not measured | 81.5% | Only GPT-5 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 85.4% | Only GPT-5 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 28.5% | Only GPT-5 measured |
| GPQA Diamond (Epoch AI run) | Not measured | 86.2% | Only GPT-5 measured |
| ARC-AGI | Not measured | 65.7% | Only GPT-5 measured |
| ARC-AGI-2 | Not measured | 9.9% | Only GPT-5 measured |
| SimpleBench | Not measured | 56.7% | Only GPT-5 measured |
| Chess puzzles | Not measured | 36.0% | Only GPT-5 measured |
| Mystery game puzzles | Not measured | 23.0% | Only GPT-5 measured |
| EBR-bench | Not measured | 12.7% | Only GPT-5 measured |
| VPCT | Not measured | 66.0% | Only GPT-5 measured |
| LMArena Text: hard prompts | Not measured | 1415 | Only GPT-5 measured |
| LMArena Text: expert | Not measured | 1419 | Only GPT-5 measured |
| LMArena Text: hard prompts in English | Not measured | 1419 | Only GPT-5 measured |
| LMArena Vision: diagrams | Not measured | 1252 | Only GPT-5 measured |
| LMArena Vision: homework | Not measured | 1278 | Only GPT-5 measured |
| Kagi LLM Benchmark | Not measured | 72.7% | Only GPT-5 measured |
| Neither model has a result on the other 5 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index14 boards measured
| Benchmark | GPT-3.5 Turbo (older v0613) | GPT-5 | Leader |
|---|---|---|---|
| AIME | Not measured | 93.4% | Only GPT-5 measured |
| MATH 500 (Vals AI) | Not measured | 96.0% | Only GPT-5 measured |
| MGSM (Vals AI) | Not measured | 92.8% | Only GPT-5 measured |
| AA Math Index | Not measured | 94.3 | Only GPT-5 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 94.3% | Only GPT-5 measured |
| OTIS Mock AIME | Not measured | 91.4% | Only GPT-5 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 55.4% | Only GPT-5 measured |
| FrontierMath, tier 4 | Not measured | 22.0% | Only GPT-5 measured |
| ProofBench | Not measured | 18.0% | Only GPT-5 measured |
| MATH level 5 | Not measured | 98.1% | Only GPT-5 measured |
| GSM8K | 46.9% | Not measured | Only GPT-3.5 Turbo (older v0613) measured |
| LMArena Text: math | Not measured | 1407 | Only GPT-5 measured |
| LMArena Text: mathematical work | Not measured | 1405 | Only GPT-5 measured |
| MathArena | Not measured | 17.1% | Only GPT-5 measured |
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index19 boards measured
| Benchmark | GPT-3.5 Turbo (older v0613) | GPT-5 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 86.5% | Only GPT-5 measured |
| LegalBench (Vals AI) | Not measured | 86.0% | Only GPT-5 measured |
| CaseLaw (Vals AI) | Not measured | 66.5% | Only GPT-5 measured |
| CorpFin (Vals AI) | Not measured | 61.1% | Only GPT-5 measured |
| TaxEval (Vals AI) | Not measured | 73.4% | Only GPT-5 measured |
| MortgageTax (Vals AI) | Not measured | 65.5% | Only GPT-5 measured |
| MedQA (Vals AI) | Not measured | 96.3% | Only GPT-5 measured |
| MedCode (Vals AI) | Not measured | 49.6% | Only GPT-5 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 87.1% | Only GPT-5 measured |
| SimpleQA Verified | Not measured | 50.1% | Only GPT-5 measured |
| MMLU | 68.9% | Not measured | Only GPT-3.5 Turbo (older v0613) measured |
| GeoBench | Not measured | 81.0% | Only GPT-5 measured |
| LMArena Text: science | Not measured | 1416 | Only GPT-5 measured |
| LMArena Text: medicine and healthcare | Not measured | 1413 | Only GPT-5 measured |
| LMArena Text: legal and government | Not measured | 1431 | Only GPT-5 measured |
| LMArena Text: business and finance | Not measured | 1400 | Only GPT-5 measured |
| FACTS Benchmark Suite | Not measured | 56.5% | Only GPT-5 measured |
| PRBench Finance | Not measured | 51.3% | Only GPT-5 measured |
| PRBench Legal | Not measured | 49.0% | Only GPT-5 measured |
| Neither model has a result on the other 1 board here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
| Benchmark | GPT-3.5 Turbo (older v0613) | GPT-5 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1184 | Only GPT-5 measured |
| Design Arena: UI components | Not measured | 1177 | Only GPT-5 measured |
| Design Arena: game dev | Not measured | 1185 | Only GPT-5 measured |
| Design Arena: data viz | Not measured | 1221 | Only GPT-5 measured |
| Design Arena: 3D | Not measured | 1055 | Only GPT-5 measured |
| Design Arena: all code categories | Not measured | 1167 | Only GPT-5 measured |
| Design Arena: SVG | Not measured | 1188 | Only GPT-5 measured |
| Design Arena: ASCII art | Not measured | 1141 | Only GPT-5 measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index35 boards measured
| Benchmark | GPT-3.5 Turbo (older v0613) | GPT-5 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 43.7% | Only GPT-5 measured |
| MedScribe (Vals AI) | Not measured | 83.7% | Only GPT-5 measured |
| IFBench | Not measured | 73.1% | Only GPT-5 measured |
| Long context reasoning (AA-LCR) | Not measured | 78.2% | Only GPT-5 measured |
| DTBench | Not measured | 90.7% | Only GPT-5 measured |
| LMCA | Not measured | 40.0% | Only GPT-5 measured |
| Fiction.LiveBench | Not measured | 97.2% | Only GPT-5 measured |
| Creative writing (Lech Mazur) | Not measured | 86.0% | Only GPT-5 measured |
| WinoGrande | 81.6% | Not measured | Only GPT-3.5 Turbo (older v0613) measured |
| LMArena Text | Not measured | 1406 | Only GPT-5 measured |
| LMArena Text: instruction following | Not measured | 1388 | Only GPT-5 measured |
| LMArena Text: creative writing | Not measured | 1365 | Only GPT-5 measured |
| LMArena Vision | Not measured | 1232 | Only GPT-5 measured |
| LMArena Text: English | Not measured | 1409 | Only GPT-5 measured |
| LMArena Text: non-English | Not measured | 1397 | Only GPT-5 measured |
| LMArena Text: Chinese | Not measured | 1422 | Only GPT-5 measured |
| LMArena Text: German | Not measured | 1416 | Only GPT-5 measured |
| LMArena Text: Japanese | Not measured | 1409 | Only GPT-5 measured |
| LMArena Text: Korean | Not measured | 1360 | Only GPT-5 measured |
| LMArena Text: French | Not measured | 1409 | Only GPT-5 measured |
| LMArena Text: Spanish | Not measured | 1399 | Only GPT-5 measured |
| LMArena Text: Russian | Not measured | 1407 | Only GPT-5 measured |
| LMArena Text: Polish | Not measured | 1431 | Only GPT-5 measured |
| LMArena Text: multi-turn | Not measured | 1426 | Only GPT-5 measured |
| LMArena Text: longer queries | Not measured | 1399 | Only GPT-5 measured |
| LMArena Text: writing and language | Not measured | 1384 | Only GPT-5 measured |
| LMArena Text: entertainment and media | Not measured | 1379 | Only GPT-5 measured |
| LMArena Vision: English | Not measured | 1231 | Only GPT-5 measured |
| LMArena Vision: Chinese | Not measured | 1267 | Only GPT-5 measured |
| LMArena Vision: reading text | Not measured | 1246 | Only GPT-5 measured |
| LMArena Vision: humor | Not measured | 1219 | Only GPT-5 measured |
| LMArena Vision: captioning | Not measured | 1212 | Only GPT-5 measured |
| LMArena Vision: recognizing things | Not measured | 1263 | Only GPT-5 measured |
| LMArena Vision: creative writing | Not measured | 1210 | Only GPT-5 measured |
| MultiChallenge | Not measured | 63.2% | Only GPT-5 measured |
| Neither model has a result on the other 13 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
GPT-3.5 Turbo (older v0613) costs less
Repository review
50K input + 3K output tokens
GPT-3.5 Turbo (older v0613) costs less
Agent loop
200K input + 10K output tokens
GPT-3.5 Turbo (older v0613) costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | OpenAI GPT-3.5 Turbo (older v0613) | OpenAI GPT-5 |
|---|---|---|
| Maker | OpenAI | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | January 25, 2024 | August 7, 2025 |
| Context window | 4K | 400K |
| Input $/Mtok | $1.00 | $1.25 |
| Output $/Mtok | $2.00 | $10.00 |
| Coding index | Not benchmarked | 38.8 |
| Independent measurements behind it | 0 | 3 |
| Cost per solved task | Not computable | $0.39 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-3.5 Turbo (older v0613) better than GPT-5 for coding?
Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; GPT-3.5 Turbo (older v0613) has none, so the two cannot be ranked on coding. Pick GPT-3.5 Turbo (older v0613) for output tokens 5.0x cheaper ($2.00 vs $10.00 per million).
Which is cheaper, GPT-3.5 Turbo (older v0613) or GPT-5?
GPT-3.5 Turbo (older v0613) costs $1.00 per million input tokens and $2.00 per million output tokens; GPT-5 costs $1.25 and $10.00. Cost per solved task is known for GPT-5 only.
Which has the bigger context window, GPT-3.5 Turbo (older v0613) or GPT-5?
GPT-5, with 400K tokens against 4K.
Has any benchmark tested both GPT-3.5 Turbo (older v0613) and GPT-5?
No benchmark has tested both yet. GPT-3.5 Turbo (older v0613) has results on GSM8K, MMLU and WinoGrande; GPT-5 on Aider polyglot, SWE-bench Verified and LMArena WebDev. Compare them on price and context instead. Data as of October 22, 2026.