AI Models · Paid vs Paid

Mistral Large Paid vs GPT-3.5 Turbo (older v0613) Paid

Mistral Large vs GPT-3.5 Turbo (older v0613) compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

Mistral LargePaidMistral AI
$2 /M input
$6 /M outputManaged API (no infra to run)
TypeProprietary
Context window128K tokens
MultimodalNo
Self-hostNo
GPT-3.5 Turbo (older v0613)PaidOpenAI
$1 /M input
$2 /M outputManaged API (no infra to run)
TypeProprietary
Context window4K tokens
MultimodalNo
Self-hostNo
Choose GPT-3.5 Turbo (older v0613) for the lower output price ($2/M vs $6/M). Choose Mistral Large if you need the larger 128K context window.

Mistral Large vs GPT-3.5 Turbo (older v0613) specs

SpecMistral LargeGPT-3.5 Turbo (older v0613)Winner
MakerMistral AIOpenAI
TypeProprietaryProprietary
Context window128K tokens4K tokensMistral Large
Input price$2/M$1/MGPT-3.5 Turbo (older v0613)
Output price$6/M$2/MGPT-3.5 Turbo (older v0613)
Vision / multimodalNoNo
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

3.0×cheaper per output token

GPT-3.5 Turbo (older v0613) is ~3.0× cheaper than Mistral Large on output tokens ($2 vs $6 per M tokens).

Choose Mistral Large if…
  • You want frontier performance through a managed API
  • You need the longer 128K context window
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose GPT-3.5 Turbo (older v0613) if…
  • You want frontier performance through a managed API
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityMistral LargeGPT-3.5 Turbo (older v0613)
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Mistral Large vs GPT-3.5 Turbo (older v0613)

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

GPT-3.5 Turbo (older v0613) delivers 3.2× more intelligence per dollar.
Mistral Large
GPT-3.5 Turbo (older v0613)
Intelligence index
6.8
5.5
Math index
0
GPQA
47.2%
29.7%
MMLU-Pro
68.3%
46.2%
Humanity's Last Exam
2.9%
Long Context Reasoning
2%
LiveCodeBench
26.7%
MATH-500
71.4%
44.1%
AIME
9.3%
AIME 2025
0%
IFBench
31.6%
τ²-Bench
33%
Coding index
10.7
Speed
0 tok/s
0 tok/s
Latency
0s
0s
Intelligence per $
2.3
7.3

Benchmark data by Artificial Analysis.

How Mistral Large and GPT-3.5 Turbo (older v0613) score

🤝 Neck and neck on these criteria (2.7 vs 2.5 / 5).
CriterionMistral LargeGPT-3.5 Turbo (older v0613)
Cost-efficiency4.04.5
Context window3.52.0
Openness1.51.5
Self-hosting1.01.0
Multimodality3.53.5

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

Mistral Large Paid

Mistral AI · Proprietary

This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news

GPT-3.5 Turbo (older v0613) Paid

OpenAI · Proprietary

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.

Frequently asked questions

Mistral Large vs GPT-3.5 Turbo (older v0613) — which is cheaper?

GPT-3.5 Turbo (older v0613) is cheaper on output ($2/M vs $6/M).

Which has the larger context window?

Mistral Large offers the larger context window (128K tokens).

Mistral Large vs GPT-3.5 Turbo (older v0613) — which should I pick in 2026?

Choose GPT-3.5 Turbo (older v0613) for the lower output price ($2/M vs $6/M). Choose Mistral Large if you need the larger 128K context window.

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