Compare
GPT-3.5 Turbo vs Mistral Large 3 Fp8
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.
GPT-3.5 Turbo is 58% cheaper on input. Mistral Large 3 Fp8 is 20% cheaper on output. The best choice depends on your input/output ratio.
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 3 Fp8 in | Mistral Large 3 Fp8 out |
|---|---|---|---|---|
| Azure | $0.500 | $1.50 | N/A | N/A |
| Fireworks AI | N/A | N/A | $1.20 | $1.20 |
| Github Copilot | N/A | N/A | N/A | N/A |
| OpenAI | $0.500 | $1.50 | N/A | N/A |
| Openrouter | $1.50 | $2.00 | N/A | N/A |
| 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
- 256,000 tokens
- Max output tokens
- 4,096 tokens
- 256,000 tokens
- Vision
- No
- No
- Function calling
- Yes
- No
- Streaming
- No
- No
- Release date
- May 2023
- N/A
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 3 Fp8. Its 256K context window handles large codebases and documents better than 16K.
High-volume text generation
Use Mistral Large 3 Fp8. Output tokens are 20% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Mistral Large 3 Fp8. Its 256K 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 3 Fp8 vs Mistral 7B
Compare pricing side by side
- Mistral Large 3 Fp8 vs Mistral Large
Compare pricing side by side