Mistral Medium 3.5
Fresh input / cached input / output cost breakdown, active and scheduled rates, provenance, same-model deployment markup, and cost-comparable alternatives for this purchasable lane.
Illustrative workloads
Pick a useful starting shape, then fine-tune every input below.
Workload and pricing scenario
Adjust the token shape, cache behavior, time window, and service tier. Every number below updates immediately.
Workload cost calculator
Share of input tokens served from cache. Applied only to models with a cache meter.
Rows with a rate that changes by time of day, promo window or service tier are priced for this scenario instead of their flat listed rate; a brand-colored label under the model name names which one applies. Context size for band-priced rows uses the input-token count below.
Picking a specific hour also previews time-of-day rates that are scheduled but have not started billing yet; those rows are labelled · preview with their start instant. Now only ever shows rates that are billable at this moment.
What this lane charges right now
Priced under the workload and scenario above. The full published schedule below always shows every variant regardless of which scenario is selected.
Where this workload's cost goes
60M input tokens (90% cache hit) and 210K output tokens, at the resolved rate above.
$9.00 + $8.10 + $1.57 = $18.68
How much to trust these numbers
mistral-medium-latest; identical to the Foundry Global rate. Cached input now officially published at $0.15/M (previously derived from Mistral's -90% cache discount rule).
Mistral's consolidated inference pricing page (docs.mistral.ai/inference/pricing), captured 2026-08-14: Mistral Medium 3.5 lists Input $1.5, Cached input $0.15, Output $7.5 per M (mode STANDARD/USD) — the cached rate is now a directly published dollar figure, superseding the earlier -90%-rule derivation from mistral.ai/pricing/api. Model card (docs.mistral.ai/models/mistral-medium-3-5-26-04) corroborates the $1.50/$7.50 input/output rate. Neither Foundry tier publishes a cached-input meter at all (re-confirmed against the Azure Retail Prices API in today's sweep), so those rows stay null.
Same-model deployment markup
How much more Microsoft Foundry charges for this exact model, over this Direct rate.
| Lane | Deployment | Workload cost | Foundry markup |
|---|---|---|---|
| Mistral Medium 3.5 | Foundry ·Data Zone | $100.73 | +$82.06 (+439%) |
| Mistral Medium 3.5 | Foundry ·Global | $91.58 | +$72.90 (+390%) |
Other lanes within ±25% of this workload's cost
Same provider first, then ranked by cost proximity, for 60M in / 210K out. This is a cost ranking only — never a quality recommendation.
- Grok-4.3GrokFoundry ·Global$18.82CHF 15.15+$0.15 (+1%) vs this lane
- Gemini 3.5 FlashGeminiFoundry ·Global$18.99CHF 15.29+$0.315 (+2%) vs this lane
- GLM 5.2GLM · Fireworks-hostedFoundry ·Data Zone$18.36CHF 14.78-$0.319 (-2%) vs this lane
- DeepSeek-V4 ProDeepSeekFoundry ·Global$19.00CHF 15.30+$0.326 (+2%) vs this lane
- GLM 5GLM · Fireworks-hostedFoundry ·Data Zone$19.22CHF 15.47+$0.544 (+3%) vs this lane
- GLM-5GLM · Z.ai direct APIDirect API$17.47CHF 14.06-$1.20 (-6%) vs this lane