Compare · ModelsLive · 2 picked · head to head
GPT-3.5 Turbo (older v0613) vs Mixtral 8x7B Instruct
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-3.5 Turbo (older v0613) wins on 6/9 benchmarks
GPT-3.5 Turbo (older v0613) wins 6 of 9 shared benchmarks. Leads in knowledge.
Category leads
knowledge·GPT-3.5 Turbo (older v0613)math·Mixtral 8x7B Instruct
Hype vs Reality
Attention vs performance
GPT-3.5 Turbo (older v0613)
#111 by perf·no signal
Mixtral 8x7B Instruct
#54 by perf·no signal
Best value
Mixtral 8x7B Instruct
3.5x better value than GPT-3.5 Turbo (older v0613)
GPT-3.5 Turbo (older v0613)
30.5 pts/$
$1.50/M
Mixtral 8x7B Instruct
107.0 pts/$
$0.54/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Mistral AI
$14.0B·Tier 1
Head to head
9 benchmarks · 2 models
GPT-3.5 Turbo (older v0613)Mixtral 8x7B Instruct
ANLI
GPT-3.5 Turbo (older v0613) leads by +4.4
ANLI (Adversarial NLI) · adversarially constructed natural language inference dataset where each round targets weaknesses found in previous model generations.
GPT-3.5 Turbo (older v0613)
37.1
Mixtral 8x7B Instruct
32.8
ARC AI2
GPT-3.5 Turbo (older v0613) leads by +0.1
AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval.
GPT-3.5 Turbo (older v0613)
83.2
Mixtral 8x7B Instruct
83.1
GPQA diamond
Mixtral 8x7B Instruct leads by +4.6
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
GPT-3.5 Turbo (older v0613)
2.9
Mixtral 8x7B Instruct
7.5
GSM8K
Mixtral 8x7B Instruct leads by +16.6
Grade School Math 8K · 8,500 linguistically diverse grade-school math word problems that require multi-step reasoning to solve.
GPT-3.5 Turbo (older v0613)
57.8
Mixtral 8x7B Instruct
74.4
MATH level 5
GPT-3.5 Turbo (older v0613) leads by +1.7
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
GPT-3.5 Turbo (older v0613)
11.6
Mixtral 8x7B Instruct
9.9
MMLU
Mixtral 8x7B Instruct leads by +4.4
Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge.
GPT-3.5 Turbo (older v0613)
56.4
Mixtral 8x7B Instruct
60.8
OpenBookQA
GPT-3.5 Turbo (older v0613) leads by +0.3
OpenBookQA · science questions that require combining a given core fact with broad common knowledge, mimicking an open-book exam setting.
GPT-3.5 Turbo (older v0613)
81.3
Mixtral 8x7B Instruct
81.1
TriviaQA
GPT-3.5 Turbo (older v0613) leads by +3.6
TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents.
GPT-3.5 Turbo (older v0613)
85.8
Mixtral 8x7B Instruct
82.2
Winogrande
GPT-3.5 Turbo (older v0613) leads by +8.8
WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs.
GPT-3.5 Turbo (older v0613)
63.2
Mixtral 8x7B Instruct
54.4
Full benchmark table
| Benchmark | GPT-3.5 Turbo (older v0613) | Mixtral 8x7B Instruct |
|---|---|---|
ANLI ANLI (Adversarial NLI) · adversarially constructed natural language inference dataset where each round targets weaknesses found in previous model generations. | 37.1 | 32.8 |
ARC AI2 AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval. | 83.2 | 83.1 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 2.9 | 7.5 |
GSM8K Grade School Math 8K · 8,500 linguistically diverse grade-school math word problems that require multi-step reasoning to solve. | 57.8 | 74.4 |
MATH level 5 MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics. | 11.6 | 9.9 |
MMLU Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge. | 56.4 | 60.8 |
OpenBookQA OpenBookQA · science questions that require combining a given core fact with broad common knowledge, mimicking an open-book exam setting. | 81.3 | 81.1 |
TriviaQA TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents. | 85.8 | 82.2 |
Winogrande WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs. | 63.2 | 54.4 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $1.00 | $2.00 | 4K tokens (~2 books) | $12.50 | |
| $0.54 | $0.54 | 33K tokens (~16 books) | $5.40 |
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