How does Mistral Large rank among AI models?
Mistral Large is a superseded version and is not on the current board as of 22 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.
Mistral AI·mistralai/mistral-large
Mistral Large is ModelCap archive rank #281 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.
Mistral Large listed OpenRouter input price is $2.00 per 1M tokens and listed output price is $6.00 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.
Mistral Large has a published context limit of 128K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.
Mistral Large has 2 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.
Mistral Large weight access is api only, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.
Snapshot facts · download the public dataset · methodology
ModelCap Index · All-versions archive
24.4#281
Measured · 62% support · score interval 19.4–29.4
Evidence as of 13 Sept 2026, 00:00 UTC
Superseded by Mistral Large 3 2512. It no longer holds a current-board position; its all-versions archive rank is #281.
Input
$2.00
per 1M tokens
Output
$6.00
per 1M tokens
Context
128K
tokens
Providers
2
endpoints
Gateway spend
—
latest · Vercel share
Providers
Uptime measured over the last 30 minutesReasoning efforts
Best supported result can inform ModelCapPublished Max, X-High, High and other configurations for this model. These are sourced scores, not head-to-head essays.
Related community configurations
Human preference ratingOther versions (2)
ModelCap Index · All-versions archive
Methodology24.4
Measured · 2 public benchmark observations across 2 boards
All-versions archive
#281
- Public rank basis
- Measured (measured)
- Index support
- 62.4% · strong
- Index interval
- 19.4–29.4
- Rank posterior
- Not available
- Top 5 / Top 10 probability
- Not available / Not available
- Posterior as of
- Snapshot timestamp unavailable
- Evidence as of
- 13 Sept 2026, 00:00 UTC
- Identity binding
- Exact catalogue product · mistralai/mistralai/mistral-large · aggregates disclosed benchmark configurations · endpoint configuration not claimed
- Index observations used
- 2
- Qualified Index evidence point
- 24.4
Bayesian Evidence Score · measured evidence input only
BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.
- Observed capability
- 24.4
- Evidence status
- confirmed · 77% mass
- General preference
- 24.5
- Coding
- 23.2
- Agents & tools
- —
- Reasoning
- —
- Evidence breadth
- 92%
- Evidence coverage
- 62%
Market and catalogue signals · secondary, never the language Index rank
- Usage (OpenRouter popularity)
- 4.7
- Liquidity (providers × uptime)
- 97.4
- Open reach (HF downloads)
- —
- Surface (context / tools / modalities)
- 60.0
- Freshness
- 2.8
- · OpenRouter popularity #246
- · 1 live provider
- · Catalogue: context 128000, tools, modalities Text/File
- · First seen 2024-02-26
These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.
BES evidence selected · measured input only
- Arena Overall24.5
- Arena Coding23.2
The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.
Deployment readiness
Metadata index40.6
limited · 56% metadata coverage
- Artifact reproducibility
- 0.0
- Access & legal clarity
- 30.3
- Deployability
- 80.0
- Evaluation provenance
- 52.8
Missing: artifactReproducibility.revision-sha, artifactReproducibility.architecture-and-model-type, artifactReproducibility.parameter-count, artifactReproducibility.serialized-weight-format, artifactReproducibility.base-lineage, accessLegalClarity.declared-license, accessLegalClarity.resolvable-license-terms, evaluationProvenance.evaluation-dataset-revisions.
A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.
Market activity
Venue coverage- Market Gravity
- 34.5
- OpenRouter weekly popularity
- #246 of 322
Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.
Arena preference
- Status
- Ranked
- Source
- LMArena
- Official rank
- #268 of 402
- Rating
- 1305.4
- 95% confidence interval
- 1301–1310
- Votes
- 28K
- Source published at
- 13 Sept 2026, 00:00 UTC
- Category
- overall
- Identity match confidence
- 99%
Market Gravity breakdown
- Usage55%
- 4.7
- Liquidity25%
- 97.4
- Open reach15%
- 50.0
- Freshness5%
- 2.8
OpenRouter weekly popularity across the full model catalogue.
Independent providers versus the model's open or closed cohort, weighted by uptime.
Hugging Face 30-day downloads for open models; neutral for closed models.
Time since first public availability, on a six-month half-life.
Specification
- Context window
- 128K tokens
- Max output
- 102K tokens
- Inputs
- Text, File
- Outputs
- Text
- Tokenizer
- Mistral
- Cached input tokens
- $0.20 / 1M
- First seen on OpenRouter
- 26 Feb 2024
- Knowledge cutoff
- 2024-11-30
Capabilities
- Not supported: Reasoning
- Supported: Tool use
- Supported: Structured output
- Supported: Response format
- Not supported: Moderated
Benchmark leaderboards featuring Mistral Large
All leaderboardsMistral Large: common questions
How much does Mistral Large cost per 1M tokens?
Mistral Large is listed at $2.00 per 1M input tokens and $6.00 per 1M output tokens as of 22 September 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $7.00 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.
What is the context window of Mistral Large?
Mistral Large has a published context window of 128K tokens (128,000) and a maximum output of 102K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.
Is Mistral Large open-weight?
API only. No downloadable model weights are linked in the current source data; access is through a hosted API or product.
Which API providers serve Mistral Large?
One provider serves Mistral Large through OpenRouter as of 22 September 2026: Mistral. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
Which benchmarks has Mistral Large been evaluated on?
Mistral Large has published results on 2 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1346 (#262 of 397) and AA Humanity's Last Exam 3.5% (#584 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.
When was Mistral Large released?
Mistral Large first appeared in the catalogue on 26 Feb 2024, with a published knowledge cutoff of 2024-11-30. It has since been superseded by Mistral Large 3 2512. Rank and price movements since then are recorded on the site's changes feed.