Compare
GPT-3.5 Turbo vs Mistral Large 2411
Pricing is only the shared seller matrix below. Best rates and catalog map are separate sections, so no chart is embedded in pricing. Open the calculator for the same workload on each side.
Model
Mistral Large 2411
Best $2.00 in · $6.00 out
Context window 128K
GPT-3.5 Turbo is cheaper across the board — 75% cheaper on input and 75% cheaper on output.
Pricing matrix
Shared sellers only. Each row is a host that lists both models. Dollar amounts are per 1M tokens. Lowest in each pair of columns is emphasized.
| Provider | GPT-3.5 Turbo in | GPT-3.5 Turbo out | Mistral Large 2411 in | Mistral Large 2411 out |
|---|---|---|---|---|
| Azure | $0.500 | $1.50 | N/A | N/A |
| Github Copilot | N/A | N/A | N/A | N/A |
| Google Vertex | N/A | N/A | $2.00 | $6.00 |
| Mistral AI | N/A | N/A | $2.00 | $6.00 |
| OpenAI | $0.500 | $1.50 | N/A | N/A |
| Openrouter | $1.50 | $2.00 | $2.00 | $6.00 |
| Text Completion Openai | $1.50 | $2.00 | N/A | N/A |
| Vercel Ai Gateway | $0.500 | $1.50 | N/A | N/A |
Best listed rates (this pair)
Same "best row in current pricing" logic as model pages: a compact view of the lowest input and output we show for each side. This is not the seller matrix.
Catalog map · OpenAI · Mistral AI
Each chart uses real catalog rows that include both list input and list output ($/1M). Larger green dots are the models on this comparison page; accent dots are other active models from that provider.
OpenAI · input vs output
Scatter chart: X = input $/M, Y = output $/M. This page's models are labeled on the green dots; hover others for detail.
One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).
Mistral AI · input vs output
One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).
Specifications
Each column header is the full model name. Tint marks the favorable value where we compute a winner.
- Context window
- 16,385 tokens
- 128,000 tokens
- Max output tokens
- 4,096 tokens
- 128,000 tokens
- Vision
- No
- No
- Function calling
- Yes
- Yes
- Streaming
- No
- No
- Release date
- May 2023
- Nov 2024
Cost calculator
Same requests, input tokens, and output tokens for both columns. Pick the provider row that matches how you buy.
When to pick which
Short takeaways: no cards, just the points. Validate with your own workloads.
Long-context tasks
Use Mistral Large 2411. Its 128K context window handles large codebases and documents better than 16K.
High-volume text generation
Use GPT-3.5 Turbo. Output tokens are 75% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Mistral Large 2411. Its 128K max output limit reduces the need to split requests.
Frequently asked questions
More comparisons
Other popular head-to-head matchups.
- GPT-3.5 Turbo vs GPT-4o
GPT-3.5 Turbo 85% cheaper on output
- GPT-3.5 Turbo vs GPT-4o mini
GPT-4o mini 60% cheaper on output
- GPT-3.5 Turbo vs o3
GPT-3.5 Turbo 81% cheaper on output
- GPT-3.5 Turbo vs Claude Sonnet 4.6
GPT-3.5 Turbo 90% cheaper on output
- Mistral Large 2411 vs Mistral 7B
Mistral 7B 95% cheaper on output
- Mistral Large 2411 vs Mistral Large
Same output pricing