Long documents
Prompts that approach the documented context limit
Beam 1.0 501B-A23B FP8
Beam 1.0 501B-A23B FP8 has the larger documented context window.
Confidence: documented
Claude 4.1 Opus Thinking vs Beam 1.0 501B-A23B FP8
Updated October 16, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.
Share or export
Decision reading
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead. 0 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Model A
Anthropic
39.36/100
Estimated · Public rank #139
Conditional range 29.6–49.1
- Shared results
- 0
- Claude 4.1 Opus Thinking only
- 0
- Beam 1.0 501B-A23B FP8 only
- 19
- Like-for-like categories
- 0 / 8
Estimated: Claude 4.1 Opus Thinking. Conditional ranges do not establish rank confidence.How the comparison works
Which one for your work
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Claude 4.1 Opus Thinking and Beam 1.0 501B-A23B FP8 are not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limitedAgentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Claude 4.1 Opus Thinking and Beam 1.0 501B-A23B FP8 are not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limitedChat turn cost
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-ratesCache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Claude 4.1 Opus Thinking does not fit this workload in one request. Claude 4.1 Opus Thinking has no comparable published API token rate. Beam 1.0 501B-A23B FP8 has no comparable published API token rate.
Confidence: listed-ratesRepository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Which one for a specific job
Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.
The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.
—Claude 4.1 Opus Thinking—Beam 1.0 501B-A23B FP8
Not comparable · BenchAlign v5.8
The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.
Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.
Same basis rules as the category table below
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
19 Beam 1.0 501B-A23B FP8 only
1 category rests on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Shape of the matched evidence
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
Instruction following
Directional only- Claude 4.1 Opus Thinking
- 66.5
- #75/148
- Beam 1.0 501B-A23B FP8
- 89.8
- #28/148
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Directional only
Agentic
Not comparable- Claude 4.1 Opus Thinking
- Not ranked
- Beam 1.0 501B-A23B FP8
- Not ranked
- Basis
- BenchAlign v5.8 lane · 0 vs 6 public rows
- Reading
- Not comparable
Coding
Not comparable- Claude 4.1 Opus Thinking
- Not ranked
- Beam 1.0 501B-A23B FP8
- Not ranked
- Basis
- BenchAlign v5.8 lane · 0 vs 7 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Claude 4.1 Opus Thinking
- 78.1
- Unranked · 2 rankable rows
- Beam 1.0 501B-A23B FP8
- 85.8
- Unranked · 3 rankable rows
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Claude 4.1 Opus Thinking
- 64.5
- Unranked · 1 rankable row
- Beam 1.0 501B-A23B FP8
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- Claude 4.1 Opus Thinking
- 43.8
- Estimated · #103/184
- Beam 1.0 501B-A23B FP8
- Not ranked
- Basis
- BenchAlign v5.8 lane · 0 vs 2 public rows
- Reading
- Not comparable
Multilingual
Not comparable- Claude 4.1 Opus Thinking
- Not ranked
- Beam 1.0 501B-A23B FP8
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- Claude 4.1 Opus Thinking
- Not ranked
- Beam 1.0 501B-A23B FP8
- 87.9
- Unranked · 1 rankable row
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
| Category | Claude 4.1 Opus Thinking | Beam 1.0 501B-A23B FP8 | Basis | Reading |
|---|---|---|---|---|
| Instruction following | 66.5#75/148 | 89.8#28/148 | Directional onlyProvisional lane · 0 vs 1 weighted rows | Directional only |
| Agentic | Not ranked | Not ranked | Not comparableBenchAlign v5.8 lane · 0 vs 6 public rows | Not comparable |
| Coding | Not ranked | Not ranked | Not comparableBenchAlign v5.8 lane · 0 vs 7 public rows | Not comparable |
| Reasoning | 78.1Unranked · 2 rankable rows | 85.8Unranked · 3 rankable rows | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Multimodal | 64.5Unranked · 1 rankable row | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Knowledge | 43.8Estimated · #103/184 | Not ranked | Not comparableBenchAlign v5.8 lane · 0 vs 2 public rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | Not ranked | 87.9Unranked · 1 rankable row | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Bars run 0–100Methodology
What each workload costs
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
Chat turn
1K fresh input + 500 output tokens
- Claude 4.1 Opus Thinking
- API rate not published
- Fits in one request
- Beam 1.0 501B-A23B FP8
- API rate not published
- Fits in one request
Claude 4.1 Opus Thinking has no comparable published API token rate. Beam 1.0 501B-A23B FP8 has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Claude 4.1 Opus Thinking
- API rate not published
- Fits in one request
- Beam 1.0 501B-A23B FP8
- API rate not published
- Fits in one request
Claude 4.1 Opus Thinking has no comparable published API token rate. Beam 1.0 501B-A23B FP8 has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Claude 4.1 Opus Thinking
- API rate not published
- Does not fit in one request
- Cached-input rate unavailable
- Beam 1.0 501B-A23B FP8
- API rate not published
- Fits in one request
- Cached-input rate unavailable
Claude 4.1 Opus Thinking does not fit this workload in one request. Claude 4.1 Opus Thinking has no comparable published API token rate. Beam 1.0 501B-A23B FP8 has no comparable published API token rate.
Cached input falls back to the list input rate only where a cached rate is unpublished
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationClaude 4.1 Opus ThinkingBeam 1.0 501B-A23B FP8
Context window
Maximum documented context; output-token limits may be lower.
Claude 4.1 Opus Thinking
200K
Beam 1.0 501B-A23B FP8
API model ID
Claude 4.1 Opus Thinking
Not sourced
Beam 1.0 501B-A23B FP8
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Claude 4.1 Opus Thinking
No comparable hosted API rate
Beam 1.0 501B-A23B FP8
No comparable hosted API rate
Reflection Hugging Face model cardDocumented inputs
Claude 4.1 Opus Thinking
Not sourced
Beam 1.0 501B-A23B FP8
Documented outputs
Claude 4.1 Opus Thinking
Not sourced
Beam 1.0 501B-A23B FP8
Provider availability
Claude 4.1 Opus Thinking
Not sourced
Beam 1.0 501B-A23B FP8
Open Weights · Hugging Face, self-hosted inference
Reflection Beam 1.0 FP8 model cardReasoning profile
Claude 4.1 Opus Thinking
Reasoning
Beam 1.0 501B-A23B FP8
Reasoning
Weight access
Claude 4.1 Opus Thinking
Proprietary
Beam 1.0 501B-A23B FP8
Open Weight
License
Claude 4.1 Opus Thinking
Proprietary
Beam 1.0 501B-A23B FP8
Open Weight
Release date
Claude 4.1 Opus Thinking
2025-08-05
Beam 1.0 501B-A23B FP8
2026-10-16
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- Quality signal
- The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Beam 1.0 501B-A23B FP8 has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.
Questions
Which is better, Claude 4.1 Opus Thinking or Beam 1.0 501B-A23B FP8?
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, Claude 4.1 Opus Thinking or Beam 1.0 501B-A23B FP8?
Claude 4.1 Opus Thinking and Beam 1.0 501B-A23B FP8 are not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, Claude 4.1 Opus Thinking or Beam 1.0 501B-A23B FP8?
Claude 4.1 Opus Thinking and Beam 1.0 501B-A23B FP8 are not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Claude 4.1 Opus Thinking or Beam 1.0 501B-A23B FP8?
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Which has the larger context window, Claude 4.1 Opus Thinking or Beam 1.0 501B-A23B FP8?
Beam 1.0 501B-A23B FP8 has the larger documented context window: 1M, compared with 200K.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence19 rows
Agentic
τ³-bench results
Claude 4.1 Opus Thinking—Beam 1.0 501B-A23B FP836.8%SourceNot directly comparable
HLE w/ tools
Claude 4.1 Opus Thinking—Beam 1.0 501B-A23B FP851.1%SourceNot directly comparable
Terminal-Bench 2.1
Claude 4.1 Opus Thinking—Beam 1.0 501B-A23B FP878.9%SourceNot directly comparable
MCP Atlas
Claude 4.1 Opus Thinking—Beam 1.0 501B-A23B FP881.5%SourceNot directly comparable
BrowseComp
Claude 4.1 Opus Thinking—Beam 1.0 501B-A23B FP876.7%SourceNot directly comparable
DeepSearchQA
Claude 4.1 Opus Thinking—Beam 1.0 501B-A23B FP879.6%SourceNot directly comparable
Coding
DeepSWE
Claude 4.1 Opus Thinking—Beam 1.0 501B-A23B FP843.0%SourceNot directly comparable
SWE-bench Pro
Claude 4.1 Opus Thinking—Beam 1.0 501B-A23B FP865.9%SourceNot directly comparable
Terminal-Bench 2.1
Claude 4.1 Opus Thinking—Beam 1.0 501B-A23B FP878.9%SourceNot directly comparable
SWE-Atlas Codebase QnA
Claude 4.1 Opus Thinking—Beam 1.0 501B-A23B FP832.2%SourceNot directly comparable
SWE Multilingual
Claude 4.1 Opus Thinking—Beam 1.0 501B-A23B FP878.1%SourceNot directly comparable
SWE-bench Verified
Claude 4.1 Opus Thinking—Beam 1.0 501B-A23B FP880.2%SourceNot directly comparable
SciCode
Claude 4.1 Opus Thinking—Beam 1.0 501B-A23B FP848.3%SourceNot directly comparable
Reasoning
Knowledge
Instruction following
IFBench
Claude 4.1 Opus Thinking—Beam 1.0 501B-A23B FP880.7%SourceNot directly comparable
Math
AIME26
Claude 4.1 Opus Thinking—Beam 1.0 501B-A23B FP898.0%SourceNot directly comparable
19 public results · 0 shared
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Last updated October 16, 2026