GPT-3.5 Turbo (older v0613) vs Mistral Nemo
Mistral Nemo costs 13.3x less per output token than GPT-3.5 Turbo (older v0613) ($0.15 vs $2.00 per million). Updated October 22, 2026; 1 benchmarks have a result for both.
GPT-3.5 Turbo (older v0613) or Mistral Nemo: 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.
- Shared results
- 1
- GPT-3.5 Turbo (older v0613) only
- 2
- Mistral Nemo only
- 2
- Like-for-like categories
- 1 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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
Long documents
Listed context window
Mistral Nemo
Mistral Nemo takes 131K tokens against 4K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Nemo
GPT-3.5 Turbo (older v0613) $0.0020, Mistral Nemo $0.0002 per turn.
List prices
At a glance
- Coding index
- GPT-3.5 Turbo (older v0613) not benchmarked, Mistral Nemo not benchmarked.
- Widest category
- Knowledge, 3.6 points apart on average over 1 shared benchmark.
- Widest single gap
- MMLU: GPT-3.5 Turbo (older v0613) 68.9% against Mistral Nemo 65.3%, 3.6 points apart on a 0 to 100 scale.
- Output price
- GPT-3.5 Turbo (older v0613) $2.00 against Mistral Nemo $0.15 per million output tokens, 13.3x apart.
- Context window
- GPT-3.5 Turbo (older v0613) takes 4K tokens, Mistral Nemo 131K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | GPT-3.5 Turbo (older v0613) | Bars | Mistral Nemo | Ties |
|---|---|---|---|---|
| Knowledge | 1 | 0 | ||
| All shared boards | 1 | 0 |
CodingNot comparableSix of these boards feed the Vibe Coding Index0 boards, none shared
| Benchmark | GPT-3.5 Turbo (older v0613) | Mistral Nemo | Leader |
|---|---|---|---|
| Neither model has a result on 43 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | GPT-3.5 Turbo (older v0613) | Mistral Nemo | Leader |
|---|---|---|---|
| Epoch Capabilities Index | Not measured | 118.7 | Only Mistral Nemo measured |
| Neither model has a result on the other 1 board here | |||
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-3.5 Turbo (older v0613) | Mistral Nemo | Leader |
|---|---|---|---|
| Neither model has a result on 42 boards here | |||
ReasoningNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-3.5 Turbo (older v0613) | Mistral Nemo | Leader |
|---|---|---|---|
| Neither model has a result on 23 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | GPT-3.5 Turbo (older v0613) | Mistral Nemo | 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 | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-3.5 Turbo (older v0613) | Mistral Nemo | Leader |
|---|---|---|---|
| MMLU | 68.9% | 65.3% | GPT-3.5 Turbo (older v0613) |
| Neither model has a result on the other 19 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-3.5 Turbo (older v0613) | Mistral Nemo | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | GPT-3.5 Turbo (older v0613) | Mistral Nemo | Leader |
|---|---|---|---|
| DTBench | Not measured | 48.6% | Only Mistral Nemo measured |
| WinoGrande | 81.6% | Not measured | Only GPT-3.5 Turbo (older v0613) measured |
| Neither model has a result on the other 46 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-3.5 Turbo (older v0613) | Mistral Nemo | Leader |
|---|---|---|---|
| Neither model has a result on 5 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
Mistral Nemo costs less
Repository review
50K input + 3K output tokens
Mistral Nemo costs less
Agent loop
200K input + 10K output tokens
Mistral Nemo 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) | Mistral Nemo |
|---|---|---|
| Maker | OpenAI | Mistral AI |
| Weights | No public weights listed | Open weights |
| Released | January 25, 2024 | July 19, 2024 |
| Context window | 4K | 131K |
| Input $/Mtok | $1.00 | $0.15 |
| Output $/Mtok | $2.00 | $0.15 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-3.5 Turbo (older v0613) better than Mistral Nemo 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 Mistral Nemo?
GPT-3.5 Turbo (older v0613) costs $1.00 per million input tokens and $2.00 per million output tokens; Mistral Nemo costs $0.15 and $0.15. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-3.5 Turbo (older v0613) or Mistral Nemo?
Mistral Nemo, with 131K tokens against 4K.
How many benchmarks is the GPT-3.5 Turbo (older v0613) vs Mistral Nemo comparison based on?
1 benchmarks have a result for both models as of October 22, 2026. GPT-3.5 Turbo (older v0613)'s coding index rests on 0 independent benchmarks and Mistral Nemo's on 0. Where only one model has a result, the page says so instead of naming a winner.