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ModelCap

Falcon H1 34B Instruct

Official publisher releaseRestricted license6.9d #151 → #156

Tiiuae·#156 of 352 on the current board

Falcon H1 34B Instruct is a language model from Tiiuae. It ranks #156 of 352 on ModelCap's current board, with an Index score of 41.1, modeled from the publisher's launch results against measured models. Its score range of 22.4–59.7 spans positions #86–#278. Its weights are downloadable under a use-restricted licence.

Figures as of 6 Nov 2026, 20:49 UTC · download the public dataset · methodology

ModelCap Index · Current board
41.1#156
Modeled from the publisher's launch results against measured models · range 22.4–59.7
Market Gravity
8.1
Secondary market signal

OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.

Input
Unlisted
no listed API price
Output
Unlisted
no listed API price
Context
—
tokens
Providers
0
endpoints

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

ModelCap Index · Current board

Methodology
41.1
Modeled from the publisher's launch results against measured models
Current board
#156 of 352
Score range
22.4–59.7
Rank range
#86–#278
Technical details
Public rank basis
Modeled · peer benchmarks (architecture)
Evidence label
Modeled · peer benchmarks · global-corpus-prior over 210 held-out anchors (38%); launch card against 5 resolved peers on 11 rows (63%); exceeds every named peer on 3 of 11 rows; optimism haircut 0 from cross-lab-probe; shrunk 7.4 up toward the measured corpus
Index support
40.0% · limited
Identity binding
Exact catalogue product · tiiuae/tiiuae/Falcon-H1-34B-Instruct · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata tiiuae/Falcon-H1-34B-Instruct@6e6890e26cba1f58b1e6ee70d654ddf054f9fce8 (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
41.1
How this position was produced · fused launch placement

No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.

Fused estimate
41.1 ± 14.6
Independent share
0%
Shrink toward corpus
+7.4
Peer ceiling share
27%
Optimism haircut
None required · cross lab probe, 9 probes
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Publisher corpus prior · not independent
global-corpus-prior over 210 held-out anchors
53.5 ± 23.838%
Launch card against resolved peers · not independent
launch card against 5 resolved peers on 11 rows
33.6 ± 18.463%
  • · Launch card row aime-24: inside the resolved peer range
  • · Launch card row aime-25: inside the resolved peer range
  • · Launch card row gpqa-diamond: inside the resolved peer range
  • · Launch card row gpqa: claims above every resolved peer
  • · Launch card row humaneval: claims below every resolved peer
  • · Launch card row ifeval: inside the resolved peer range
  • · Launch card row livecodebench: inside the resolved peer range
  • · Launch card row math-500: inside the resolved peer range
  • · Launch card row mmlu-pro: claims above every resolved peer
  • · Launch card row mmlu-stem: claims above every resolved peer
  • · Launch card row mmlu: inside the resolved peer range
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
—
Evidence status
No admitted measured evidence
General preference
—
Coding
—
Agents & tools
—
Reasoning
—
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
—
Liquidity (providers × uptime)
—
Open reach (HF downloads)
—
Surface (context / tools / modalities)
0.0
Freshness
12.1
  • · Catalogue surface
  • · First seen 2025-05-01

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

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.

Experimental capability estimate

Estimate policy
22.1
6.9–37.2 uncertainty interval
Excluded from rank
Confidence
75%
Training support
221 models · 129 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
8.3 MAE

Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
50.9
partial · 56% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
92.5
Deployability
8.0
Evaluation provenance
0.0

Not yet published: a current serving provider, measured provider uptime, published provider pricing, declared context and output limits, admitted benchmark results, results across several capability areas, results from more than one source, a confident match to its benchmark entries, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
8.1
OpenRouter weekly popularity
Not listed

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

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
0.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
0.0

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
12.1

Time since first public availability, on a six-month half-life.

Specification

Model ID
tiiuae/Falcon-H1-34B-Instruct
Declared output cap
Unknown

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text
Outputs
Text
Cached input tokens
Not offered
First seen on OpenRouter
1 May 2025

Capabilities

  • Not supported: Reasoning
  • Not supported: Tool use
  • Not supported: Structured output
  • Not supported: Response format
  • Not supported: Moderated

Weights & access

Restricted license. Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment.

Access
Restricted license
Pinned revision
6e6890e26cba
Parameters
33.6B
Architecture
FalconH1ForCausalLM
Model type
falcon_h1
Hugging Face downloads (30d)
3K
Downloads (all time)
57K
Likes
53
Repository updated
31 Jul 2025, 04:04 UTC

Alternatives to Falcon H1 34B Instruct, by the numbers

Ranked neighbours

Models within 3 places of #156 on the ModelCap Index.

Other ranked Tiiuae models

The same publisher's other current models with a public Index position.

Falcon H1 34B Instruct: common questions

How does Falcon H1 34B Instruct rank among AI models?

Falcon H1 34B Instruct holds ModelCap Index position #156 of 352 ranked language models as of 6 November 2026, with an Index score of 41.1 (interval 22.4–59.7); evidence: modeled · peer benchmarks. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Falcon H1 34B Instruct cost per 1M tokens?

No live API price is listed for Falcon H1 34B Instruct in the current snapshot as of 6 November 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is Falcon H1 34B Instruct open-weight?

Restricted license (falcon-llm-license). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is tiiuae/Falcon-H1-34B-Instruct on Hugging Face.

Which benchmarks has Falcon H1 34B Instruct been evaluated on?

Falcon H1 34B Instruct's Index position rests on the evidence listed on this page; it has no result on the public boards ModelCap tracks as separate leaderboards as of 6 November 2026. The evidence panel names each source and its publication date.

When was Falcon H1 34B Instruct released?

Falcon H1 34B Instruct first appeared in the catalogue on 1 May 2025. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.