Claude Opus 4.7
Claude Opus 4.7 is a multimodal language model from Anthropic, first publicly listed on April 16, 2026. The model is recorded under four aliases: Claude Opus 4.7, Opus 4.7, claude-opus-4-7, and opus 4.7. On the mirrorcode benchmark, which measures a model's ability to interpret visual inputs and generate corresponding code, Claude Opus 4.7 posted a score of 56.0. Anthropic has not disclosed parameter counts, training data cutoff, context-window length, or results on standard industry benchmarks such as MMLU, HumanEval, or GPQA for this release. Claude Opus 4.7 matters now because its sole published metric establishes an early, verifiable data point for vision-to-code reasoning at the frontier tier in mid-2026, giving developers and researchers a fixed reference point for comparing coding and reasoning capabilities across vision-language models. This directly shapes enterprise procurement decisions and developer platform choices in the current AI deployment cycle, though the absence of broader evaluation context limits immediate comparative utility against more fully documented contemporaneous models.
Claude Opus 4.7, Anthropic's flagship multimodal model first documented April 16, 2026, enters a brutal competitive landscape. The graph shows it directly competes with six models: GPT-5, GPT-5.3, GPT-4 Turbo, GPT-3.5, Gemini 3 Pro, Composer 2, GLM-5.2, and even its predecessor Claude Opus 4.6. That's eight rivals spanning OpenAI, Google, and others. Anthropic deploys three key techniques: RLHF, Constitutional AI, and Chain-of-Thought Prompting. The model is already embedded in products — Claude Security, Claude Code, and JetBrains Junie use it. Mention count is modest: 5 in 30 days, 38 total. No mentions in the last week. The narrow deployment velocity and sparse recent coverage suggest Opus 4.7 is a capable but not dominant entry. Its reliance on established techniques rather than novel architecture raises the question of differentiation.
- ·Competes with 8 models including GPT-5, GPT-5.3, Gemini 3 Pro
- ·Deploys RLHF, Constitutional AI, Chain-of-Thought
- ·Used by Claude Security, Claude Code, JetBrains Junie
- ·Zero mentions in last 7 days
- ·First seen April 16, 2026
Signal Radar
Five-axis snapshot of this entity's footprint
Mentions × Lab Attention
Weekly mentions (solid) and average article relevance (dotted)
Timeline
8- Product LaunchJul 7, 2026
Anthropic releases Claude Opus 4.7 with 92% honesty benchmark and reduced sycophancy
View source- honesty score:
- 92%
- swe bench score:
- 79.8
- pricing input:
- $15/M tokens
- pricing output:
- $75/M tokens
- Research MilestoneMay 17, 2026
Autonomously ported Adobe Lightroom CC to Linux via Wine after a single prompt
View source - Product LaunchApr 23, 2026
Opus 4.7 released with new tokenizer causing 40%+ cost increase
View source - Product LaunchApr 20, 2026
Anthropic released Claude Opus 4.7 with an updated tokenizer that increases token counts for the same input
- impact:
- 40%+ cost increase for same input
- Research MilestoneApr 17, 2026
Opus 4.7 achieved 98.5% on XBOW visual acuity benchmark, up from Opus 4.6's 54.5%.
View source- benchmark:
- XBOW visual acuity
- score:
- 98.5%
- Research MilestoneJan 1, 2026
Claude Opus 4.7 matches dedicated NMR software on chemistry tasks per Anthropic blog
View source
Relationships
22Developed
Uses
Competes With
Deploys
Frequently appears with
10Entities that show up in the same articles — shared coverage, not a stated relationship.
Recent Articles
5Claude Code Tops JetBrains' New Kotlin Benchmark with 85.7% Resolution
+Claude Code with Opus 4.7 xhigh tops JetBrains' Kotlin Benchmark at 85.7%. Configure your CLAUDE.md with Kotlin conventions and use `--model opus-4.7-
98 relevanceAnthropic Claims Claude Opus 4.7 Hits 92% Honesty, Cuts Sycophancy
+Anthropic's Claude Opus 4.7 scores 92% on internal honesty benchmark, reducing sycophancy. The model also improves SWE-Bench to 79.8, up from 71.2.
75 relevanceClaude Code Rate Limits Just Doubled: How to Use the New Capacity Starting Today
+Claude Code's doubled rate limits and removed peak-hour throttling on Pro, Max, Team, and Enterprise plans let you stop conserving Opus quota and run
80 relevanceMirrorCode Benchmark Costs $2,600 Per Run, Challenges AI Coding Limits
+Epoch AI and METR launched MirrorCode, a $2,600-per-run coding benchmark. Claude Opus 4.7 leads with 56% solve rate.
77 relevanceGLM-5.2 matches Opus 4.7 at 1/5 the price in Snowflake coding test
~Zhipu AI's GLM-5.2 matched Claude Opus 4.7 on a Snowflake coding benchmark at one-fifth the cost, threatening Western AI lab pricing and IPO valuation
85 relevance
Predictions
No predictions linked to this entity.
AI Discoveries
3- observationactive2d ago
Lifecycle: Claude Opus 4.7
Claude Opus 4.7 is in 'active' phase (0 mentions/3d, 2/14d, 38 total)
90% confidence - observationactiveJul 10, 2026
Sentiment divergence: Claude Opus 4.7 vs Claude Opus 4.6
Claude Opus 4.7 and Claude Opus 4.6 have a 'competes_with' relationship (3 evidence articles) but their recent sentiment has diverged significantly: Claude Opus 4.7=0.60, Claude Opus 4.6=0.11 (gap=0.49). Sentiment divergence between related entities often signals an emerging conflict, leadership cha
70% confidence - observationactiveJul 8, 2026
Sentiment divergence: Claude Opus 4.6 vs Claude Opus 4.7
Claude Opus 4.6 and Claude Opus 4.7 have a 'competes_with' relationship (3 evidence articles) but their recent sentiment has diverged significantly: Claude Opus 4.6=0.12, Claude Opus 4.7=0.60 (gap=0.48). Sentiment divergence between related entities often signals an emerging conflict, leadership cha
70% confidence
Sentiment History
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W23 | 0.60 | 1 |
| 2026-W26 | 0.10 | 1 |
| 2026-W27 | 0.50 | 2 |
| 2026-W28 | 0.70 | 2 |