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ModelCap

Qwen3 Coder 480B A35B

Arena #184Official publisher releaseOpen weights7d #124 → #131

Qwen·#131 of 352 on the current board·cheaper than #113 Qwen3 235B A22B Thinking 2507

Qwen3 Coder 480B A35B is a language model from Qwen. It ranks #131 of 352 on ModelCap's current board, with an Index score of 49.8, measured on 2 public benchmarks. Its score range of 44.8–54.8 spans positions #101–#147. It is listed at $0.30 per million input tokens and $1.00 per million output tokens across 2 providers. It reads up to 262K tokens of context, and its weights are openly downloadable.

Figures as of 6 Nov 2026, 13:52 UTC · download the public dataset · methodology

ModelCap Index · Current board
49.8#131
Measured on 2 public benchmarks · range 44.8–54.8
Evidence as of 28 Oct 2026, 00:00 UTC
Market Gravity
27.2Increased by 1.6
Secondary market signal
Input
$0.30
per 1M tokens
Output
$1.00
per 1M tokens
Context
262K
tokens
Providers
2
endpoints

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
DeepInfraturboCheapest$0.30$1.00262Kfp4100.0%
Venicefp8$0.35$1.50256Kfp8100.0%

Reported evaluation leads (4)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
FutureMa/EvasionBench
evasion_bench
—78.16
Unpinned
not published
Reported
Quarantined
google/physical-engineerings-last-exam
overall-score
—6.1
Unpinned
not published
Reported
Quarantined
harborframework/terminal-bench-2.0
terminalbench_2
—23.9
Unpinned
not published
Reported
Quarantined
ScaleAI/SWE-bench_Pro
SWE_Bench_Pro
—38.7
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
49.8
Measured on 2 public benchmarks
Current board
#131 of 352
Score range
44.8–54.8
Rank range
#101–#147
Evidence as of
28 Oct 2026, 00:00 UTC
Benchmarks used
Arena Coding, Arena Overall
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 2 public benchmark observations across 2 boards
Index support
62.4% · strong
Identity binding
Exact catalogue product · qwen/qwen/qwen3-coder · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata Qwen/Qwen3-Coder-480B-A35B-Instruct@9d90cf8fca1bf7b7acca42d3fc9ae694a2194069 (not the evaluation revision)
Index observations used
2
Qualified Index evidence point
49.8
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
49.8
Evidence status
confirmed · 77% mass
General preference
49.1
Coding
54.9
Agents & tools
—
Reasoning
—
Evidence breadth
92%
Evidence coverage
62%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
13.0
Liquidity (providers × uptime)
55.0
Open reach (HF downloads)
36.4
Surface (context / tools / modalities)
50.3
Freshness
16.6
  • · OpenRouter popularity #159
  • · 2 live providers
  • · HF 30d downloads 57790
  • · Catalogue: context 262144, tools
  • · First seen 2025-07-23

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

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 index
83.1
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
90.0
Evaluation provenance
52.8

Not yet published: the base model it derives from, 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
27.2
OpenRouter weekly popularity
#159 of 339

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
#184 of 419
Rating
1387.6
95% confidence interval
1383–1393
Votes
25K
Source published at
28 Oct 2026, 00:00 UTC
Category
overall
Identity match confidence
99%

Market Gravity breakdown

Usage55%
13.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
55.0

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

Open reach15%
36.4

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

Freshness5%
16.6

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

Specification

Model ID
qwen/qwen3-coder
Context window
262K tokens
Declared output cap
66K tokens

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
Tokenizer
Qwen3
Cached input tokens
$0.10 / 1M
First seen on OpenRouter
23 Jul 2025
Knowledge cutoff
2025-06-30

Capabilities

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

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Licence
apache-2.0
Pinned revision
9d90cf8fca1b
Parameters
480.2B
Architecture
Qwen3MoeForCausalLM
Model type
qwen3_moe
Hugging Face downloads (30d)
58K
Downloads (all time)
1.2M
Likes
1K
Repository updated
21 Aug 2025, 10:18 UTC

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Benchmark leaderboards featuring Qwen3 Coder 480B A35B

All leaderboards
Public benchmark boards on which Qwen3 Coder 480B A35B has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena text leaderboardArena (LMArena)13881383–1393#184 of 419Not reported28 Oct 2026
Arena coding leaderboardArena (LMArena)14571448–1466#149 of 414Default28 Oct 2026
SWE-bench leaderboardSWE-bench (Princeton / SWE-agent team)55.4%#30 of 47Default2 Aug 2025

Alternatives to Qwen3 Coder 480B A35B, by the numbers

Ranked neighbours

Models within 3 places of #131 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked Qwen models

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

Qwen3 Coder 480B A35B: common questions

How does Qwen3 Coder 480B A35B rank among AI models?

Qwen3 Coder 480B A35B holds ModelCap Index position #131 of 352 ranked language models as of 6 November 2026, with an Index score of 49.8 (interval 44.8–54.8); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Qwen3 Coder 480B A35B cost per 1M tokens?

Qwen3 Coder 480B A35B is listed at $0.30 per 1M input tokens and $1.00 per 1M output tokens as of 6 November 2026 across 2 providers. 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 $1.10 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 Qwen3 Coder 480B A35B?

Qwen3 Coder 480B A35B has a published context window of 262K tokens (262,144). The snapshot lists a 65,536 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is Qwen3 Coder 480B A35B open-weight?

Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is Qwen/Qwen3-Coder-480B-A35B-Instruct on Hugging Face.

Which API providers serve Qwen3 Coder 480B A35B?

2 providers serve Qwen3 Coder 480B A35B through OpenRouter as of 6 November 2026: DeepInfra and Venice. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Qwen3 Coder 480B A35B been evaluated on?

Qwen3 Coder 480B A35B has published results on 3 public boards tracked by ModelCap as of 6 November 2026: Arena text 1388 (#184 of 419), Arena coding 1457 (#149 of 414) and SWE-bench 55.4% (#30 of 47). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

How does Qwen3 Coder 480B A35B compare with Qwen3 30B A3B Instruct 2507?

Qwen3 Coder 480B A35B ranks #131 (Index 49.8) and Qwen3 30B A3B Instruct 2507 ranks #140 (Index 48.0) on the ModelCap Index as of 6 November 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Qwen3 Coder 480B A35B released?

Qwen3 Coder 480B A35B first appeared in the catalogue on 23 Jul 2025, with a published knowledge cutoff of 2025-06-30. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.