GPT-3.5 Turbo (older v0613) vs Grok Build 0.1
GPT-3.5 Turbo (older v0613) and Grok Build 0.1 cost about the same per output token ($2.00 vs $2.00 per million). Updated October 23, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $2.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $2.00
GPT-3.5 Turbo (older v0613) or Grok Build 0.1: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
No benchmark has tested both yet. GPT-3.5 Turbo (older v0613) has results on GSM8K, MMLU and WinoGrande; Grok Build 0.1 on AA Coding Index, Vibe Code Bench (Vals AI) and AA Intelligence Index. 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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Grok Build 0.1 has a AA Intelligence Index result, 27.2.
Directional only
Long documents
Listed context window
Grok Build 0.1
Grok Build 0.1 takes 256K tokens against 4K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
No call
GPT-3.5 Turbo (older v0613) $0.0020, Grok Build 0.1 $0.0020 per turn.
List prices
At a glance
- Coding index
- GPT-3.5 Turbo (older v0613) not benchmarked, Grok Build 0.1 not benchmarked.
- 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
- Both cost $2.00 per million output tokens.
- Context window
- GPT-3.5 Turbo (older v0613) takes 4K tokens, Grok Build 0.1 256K.
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 Index2 boards measured
| Benchmark | GPT-3.5 Turbo (older v0613) | Grok Build 0.1 | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 51.5 | Only Grok Build 0.1 measured |
| Vibe Code Bench (Vals AI) | Not measured | 13.4% | Only Grok Build 0.1 measured |
| Neither model has a result on the other 41 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | GPT-3.5 Turbo (older v0613) | Grok Build 0.1 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 27.2 | Only Grok Build 0.1 measured |
| Neither model has a result on the other 1 board here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | GPT-3.5 Turbo (older v0613) | Grok Build 0.1 | Leader |
|---|---|---|---|
| GSM8K | 46.9% | Not measured | Only GPT-3.5 Turbo (older v0613) measured |
| Neither model has a result on the other 13 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | GPT-3.5 Turbo (older v0613) | Grok Build 0.1 | Leader |
|---|---|---|---|
| MMLU | 68.9% | Not measured | Only GPT-3.5 Turbo (older v0613) measured |
| Neither model has a result on the other 19 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | GPT-3.5 Turbo (older v0613) | Grok Build 0.1 | Leader |
|---|---|---|---|
| WinoGrande | 81.6% | Not measured | Only GPT-3.5 Turbo (older v0613) measured |
| Neither model has a result on the other 47 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
Same cost
Repository review
50K input + 3K output tokens
Same cost
Agent loop
200K input + 10K output tokens
Same cost
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) | SpaceXAI Grok Build 0.1 |
|---|---|---|
| Maker | OpenAI | xAI |
| Weights | No public weights listed | No public weights listed |
| Released | January 25, 2024 | May 20, 2026 |
| Context window | 4K | 256K |
| Input $/Mtok | $1.00 | $1.00 |
| Output $/Mtok | $2.00 | $2.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-3.5 Turbo (older v0613) better than Grok Build 0.1 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, GPT-3.5 Turbo (older v0613) or Grok Build 0.1?
GPT-3.5 Turbo (older v0613) costs $1.00 per million input tokens and $2.00 per million output tokens; Grok Build 0.1 costs $1.00 and $2.00. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-3.5 Turbo (older v0613) or Grok Build 0.1?
Grok Build 0.1, with 256K tokens against 4K.
Has any benchmark tested both GPT-3.5 Turbo (older v0613) and Grok Build 0.1?
No benchmark has tested both yet. GPT-3.5 Turbo (older v0613) has results on GSM8K, MMLU and WinoGrande; Grok Build 0.1 on AA Coding Index, Vibe Code Bench (Vals AI) and AA Intelligence Index. Compare them on price and context instead. Data as of October 23, 2026.