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Head-to-head comparison

Nova Pro 1.0 vs Codestral 2508

Nova Pro 1.0 (Amazon) and Codestral 2508 (Mistral AI) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 18 August 2026

As of 18 August 2026, Nova Pro 1.0 holds the stronger ModelCap Index position (#189 vs #227); Codestral 2508 is 3.6× cheaper per output token ($0.90/1M vs $3.20/1M); and Nova Pro 1.0 offers the longer context window (300K vs 256K tokens).

Which should you choose?

Choose Nova Pro 1.0 if…

  • you want the stronger overall ModelCap Index position — #189 against #227 (14.9 vs 0.0 points).
  • you need the longer context window — 300K tokens against 256K.

Choose Codestral 2508 if…

  • API cost matters — $0.90/1M output tokens against $3.20/1M, about 3.6× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.30/1M against $0.80/1M.
  • you want the more recently listed model — Codestral 2508 was listed 1 August 2025, Nova Pro 1.0 5 December 2024.

Nova Pro 1.0 vs Codestral 2508: specs, pricing and context

Specification comparison of Nova Pro 1.0 and Codestral 2508
FieldNova Pro 1.0AmazonCodestral 2508Mistral AI
ModelCap Index position#189#227
Index score14.90.0
EvidenceMeasuredEstimated
Input price / 1M tokens$0.80$0.30
Output price / 1M tokens$3.20$0.90
Context window300K tokens256K tokens
Max output tokens5K
API providers listed11
Weight accessAPI onlyAPI only
Input modalitiesText, ImageText, File
First listed5 December 20241 August 2025
PublisherAmazonMistral AI

Evidence: 2 public benchmark observations across 2 boards · publisher corpus prior · leave-one-anchor-out calibrated. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Nova Pro 1.0 vs Codestral 2508

Public benchmark boards where Nova Pro 1.0 or Codestral 2508 has a published result
BoardNova Pro 1.0Codestral 2508Leads
Arena codingArena (LMArena)13431334–1352Only one result
BFCL V4UC Berkeley (Gorilla)25.0Function callingOnly one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Nova Pro 1.0 vs Codestral 2508: common questions

Is Nova Pro 1.0 better than Codestral 2508?

Nova Pro 1.0 ranks higher on the ModelCap Index as of 18 August 2026: #189 against #227. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.

Is Nova Pro 1.0 cheaper than Codestral 2508?

Codestral 2508 is cheaper on output tokens: $0.90/1M against $3.20/1M. Input tokens are $0.80/1M for Nova Pro 1.0 and $0.30/1M for Codestral 2508. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Nova Pro 1.0 or Codestral 2508?

Nova Pro 1.0 has the larger context window: 300K tokens against 256K.

Which is better for coding, Nova Pro 1.0 or Codestral 2508?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are Nova Pro 1.0 and Codestral 2508 open-weight models?

Nova Pro 1.0: API only. Codestral 2508: API only. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Nova Pro 1.0 and Codestral 2508?

ModelCap currently lists 1 API provider for Nova Pro 1.0 and 1 for Codestral 2508, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Nova Pro 1.0 vs Codestral 2508 comparison?

Every figure comes from the sealed ModelCap dataset published 18 August 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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