Best all-around family
GPT-5.6
Use Terra for the default route, Luna for volume, and Sol when the work becomes difficult or visual quality matters.
Top AI modelsAnalysis by Matt Farmer
Best AI Models of July 2026 GPT-5.6 vs Claude Fable 5 vs Muse Spark 1.1 vs Grok 4.5
The best AI model is not one model. It is routing between GPT-5.6's tiers, Fable 5's raw intelligence, Muse Spark's speed, and Grok's coding value.
During one major release week, OpenAI moved the GPT-5.6 family to general availability, Anthropic restored Claude Fable 5, Meta launched Muse Spark 1.1 with a public API preview, and SpaceXAI released Grok 4.5. This page compares what changed, API pricing, context limits, independent benchmarks, access, privacy, speed, and the jobs each model handles best.
- Release stories
- 4
- Model SKUs
- 6
- Practical answer
- 1 route
General availability
GPT-5.6 family
July 9, 2026
Three routeable tiers: Sol for frontier work, Terra for balance, Luna for volume.
Restored
Claude Fable 5
July 1, 2026
The premium escalation model for difficult reasoning, research, and architecture.
Public API preview
Muse Spark 1.1
July 9, 2026
A fast, low-cost, 1M-context platform for multimodal agents and computer use.
Released
Grok 4.5
July 8, 2026
A cost-efficient coding model with native X search, web tools, and 500K context.
Fast verdict
Four winners. Four different jobs.
Hardest problems
Claude Fable 5
The raw-intelligence leader in the July 11 independent snapshot, with premium cost, latency, retention, and fallback tradeoffs.
Agent value
Muse Spark 1.1
The cheapest output and fastest measured response in this group, built around tools, subagents, computer use, and 1M context.
Coding value
Grok 4.5
Strong engineering performance at $2 input and $6 output per million tokens, plus native X and web research tools.
Six-SKU comparison
Same units. Different jobs.
Standard short-context API rates in USD per million tokens. Independent scores are a July 11 snapshot and are configuration-dependent.
- Input / output
- $5 / $30
- Context
- 1.05M
- Intelligence
- 59 (AA v4.1, max)
- Cache input
- $0.5 / M
Strongest fit
Frontier coding, agents, design, and computer use
Biggest catch
Premium price and high-effort token use
- Input / output
- $2.5 / $15
- Context
- 1.05M
- Intelligence
- 55 (OpenAI launch table)
- Cache input
- $0.25 / M
Strongest fit
Balanced default for mixed professional work
Biggest catch
Less peak quality than Sol
- Input / output
- $1 / $6
- Context
- 1.05M
- Intelligence
- 51.2 (OpenAI launch table)
- Cache input
- $0.1 / M
Strongest fit
High-volume extraction, summaries, and subagents
Biggest catch
Hard, ambiguous tasks still need escalation
- Input / output
- $10 / $50
- Context
- 1M
- Intelligence
- 60 (AA v4.1, max + fallback)
- Cache input
- $1 / M
Strongest fit
Hard reasoning, research, architecture, and verification
Biggest catch
Highest cost, latency, and mandatory 30-day retention
- Input / output
- $1.25 / $4.25
- Context
- 1M
- Intelligence
- 51 (AA v4.1, xhigh)
- Cache input
- $0.15 / M
Strongest fit
Fast, inexpensive multimodal agents and computer use
Biggest catch
Public-preview maturity and lower hard-task scores
- Input / output
- $2 / $6
- Context
- 500K
- Intelligence
- 54 (AA v4.1, high)
- Cache input
- $0.5 / M
Strongest fit
Coding-agent value and live X/web research
Biggest catch
Smallest context window and separate tool fees
Find your route
What are you actually trying to do?
Pick the workload and the thing you care about most. The recommendation gives you a default model and an escalation path.
Recommended route
GPT-5.6 Terra or Grok 4.5
Terra gives you the broad OpenAI tool stack; Grok is excellent engineering value. Route difficult debugging and visual polish to Sol.
Escalation
GPT-5.6 Sol
Main caveat
Grok has 500K context and separate tool fees; OpenAI gets more expensive above 272K input.
API cost workbench
Compare the same workload across all six models.
Change the token mix and agent multiplier. The comparison applies OpenAI's long-context premium automatically when total input crosses 272,000 tokens.
Estimate only. USD standard API rates, no batch discount.
Fable cache-write charges, Grok hosted-tool fees, retries, and provider-specific minimums are not included.
Estimated request cost
Sorted lowest to highest#1Muse Spark 1.1
$0.148#2GPT-5.6 Luna
$0.170#3Grok 4.5
$0.220#4GPT-5.6 Terra
$0.425#5GPT-5.6 Sol
$0.850#6Claude Fable 5
$1.50Release dossiers
What each release actually changes.
Official capabilities and access are separated from Matt's practical recommendation. The point is not a podium; it is knowing which role each model should play.
01
OpenAI
Sol / Terra / Luna
SOLFrontier
TERRADefault
LUNAVolume
GPT-5.6: the complete routing family
GPT-5.6 is the strongest all-around system in this comparison because it gives one tool stack three useful economic tiers. Terra is the practical default; Luna handles routine volume; Sol is the escalation path for hard coding, design, agents, and computer use.
Best fit
- Teams that want one provider with an explicit quality-to-cost ladder
- Frontend, coding, computer-use, and professional artifact workflows
- Large-context systems that can route routine work away from the flagship tier
Watch closely
- Sol is expensive at $5 input and $30 output per million tokens
- Requests above 272K input carry a 2x input and 1.5x output premium
- Max and ultra modes can increase latency, token use, and agent fan-out
Consumer access
ChatGPT, ChatGPT Work, Codex, and a gradual global API rollout. Exact model access varies by plan and surface.
Developer route
All three tiers are available through the OpenAI API with a 1.05M context window and 128K maximum output.
02
Anthropic
Raw intelligence / hard problems
Release dossier
Claude Fable 5: the premium escalation model
Fable 5 is the model to reserve for architecture, difficult research, deep writing, hard debugging, and independent verification. It led the July 11 Artificial Analysis intelligence snapshot, but the economic and privacy tradeoffs are substantial.
Best fit
- High-stakes reasoning, research, architecture, and long-horizon coding
- A premium planner or reviewer at the top of a routed stack
- Teams willing to pay more for the last increment of difficult-task quality
Watch closely
- $10 input and $50 output per million tokens is the highest price here
- Maximum-effort runs can be slow and fallback behavior must be measured
- Mandatory 30-day retention means Fable is not available under zero data retention
Consumer access
Fable is globally restored. Temporary subscription inclusion ended July 7; ongoing use may consume plan limits or usage credits.
Developer route
The API supports 1M context, caching, batch discounts, and adaptive effort, with provider-specific retention and fallback rules.
03
Meta
Speed / price / multimodal agents
Release dossier
Muse Spark 1.1: the fast agent-value experiment
Muse Spark 1.1 is the most interesting value experiment of the release wave: 1M context, explicit tool and subagent design, computer use, and the lowest output price in the comparison. It is not the raw benchmark leader, and the developer API is still a public preview.
Best fit
- High-volume multimodal agents and computer-use workflows
- Startups that need 1M context without flagship-model pricing
- Visual-to-code and interface experiments where speed matters
Watch closely
- Public-preview quotas, regions, identifiers, and pricing can change
- Meta's own evaluation report shows gaps on hard coding and sustained autonomy
- Low sticker price does not guarantee low task cost when outputs become verbose
Consumer access
Muse Spark 1.1 is available in Meta AI Thinking mode, with a US-focused public preview of the paid Meta Model API.
Developer route
The developer API is OpenAI-compatible and priced at $1.25 input, $0.15 cached input, and $4.25 output per million tokens.
04
SpaceXAI
Engineering / live X / tool use
Release dossier
Grok 4.5: the coding-agent value route
Grok 4.5 makes its strongest case on engineering economics: competitive coding-agent performance, low output cost, fast throughput, and native X/web tools. It is a practical implementation model, not the universal raw-intelligence winner.
Best fit
- Coding agents, terminal work, Cursor, and Grok Build workflows
- Output-heavy engineering where token efficiency matters
- Research that benefits from current X sentiment alongside web search
Watch closely
- Its 500K context window is half the size of the other flagship representatives
- Web, X, code-execution, and other hosted tool calls add separate fees
- EU access was not available at launch and cache affinity requires deliberate setup
Consumer access
Available through Grok, Grok Build, Cursor, and the xAI API. Consumer limits and regional access vary.
Developer route
The API costs $2 input, $0.50 cached input, and $6 output per million tokens, with separate hosted-tool fees.
Independent snapshot
Intelligence is close. Speed is not.
Artificial Analysis v4.1, captured July 11, 2026. These configurations use different effort settings and hidden reasoning behavior. Treat this as a dated snapshot, not a permanent ranking or latency promise.
Intelligence Index
Higher is better
Claude Fable 560
GPT-5.6 Sol59
Grok 4.554
Muse Spark 1.151
Output speed
Tokens per second
Claude Fable 560.4 t/s
GPT-5.6 Sol69.3 t/s
Grok 4.592.1 t/s
Muse Spark 1.1116.3 t/s
max + fallback
Claude Fable 5
81.99s
Time to first token / answer
max
GPT-5.6 Sol
229.07s
Time to first token / answer
high
Grok 4.5
15.22s
Time to first token / answer
xhigh
Muse Spark 1.1
1.03s
Time to first token / answer
Access + controls
Consumer access is not API access.
Plans, usage credits, developer regions, privacy controls, and model availability differ. Confirm the exact surface before designing a production workflow around it.
GPT-5.6
- Consumer
- ChatGPT, Work, and Codex; tier access varies by plan
- Developer
- Sol, Terra, and Luna available
- Important limit
- Long-context premium above 272K input
Claude Fable 5
- Consumer
- Paid Claude access plus limits or usage credits
- Developer
- 1M context; caching and batch support
- Important limit
- 30-day retention; no ZDR
Muse Spark 1.1
- Consumer
- Meta AI Thinking mode
- Developer
- US-focused public preview
- Important limit
- Preview access, quotas, and identifiers may change
Grok 4.5
- Consumer
- Free dynamic limits and paid Grok tiers
- Developer
- xAI API, Cursor, and Grok Build
- Important limit
- 500K context; hosted tools cost extra
Recommended stacks
The practical winner is routing.
Routing stack
Creator + research
- 1Grok 4.5
- 2Luna or Muse
- 3Sol or Fable
Find live signal with Grok, organize sources cheaply with Luna or Muse, then use Sol or Fable for synthesis and final verification.
Routing stack
Professional coding
- 1Terra or Grok
- 2Luna or Muse
- 3Sol / Fable review
Implement with the balanced models, hand repetitive subagents to the value tier, and escalate difficult debugging or architecture.
Routing stack
Cost-controlled agents
- 1Muse or Luna
- 2Grok for engineering
- 3Sol at threshold
Default to the lowest sustainable cost, route tool-heavy engineering to Grok, and reserve Sol for low-confidence or high-complexity branches.
Method + sources
Facts first. Judgment labeled.
Official product pages establish dates, prices, access, and specifications. Artificial Analysis provides the independent snapshot. Use-case recommendations are Matt Farmer's editorial synthesis.
No model on this page is open-weight or locally deployable. Community reactions were treated as anecdotes, not proof.
- 01OpenAI GPT-5.6 launchOfficial
- 02OpenAI model documentationOfficial
- 03Anthropic Fable 5 launchOfficial
- 04Anthropic Fable 5 restorationOfficial
- 05Anthropic API pricingOfficial
- 06Meta Muse Spark 1.1 launchOfficial
- 07Meta Muse Spark evaluation reportOfficial
- 08SpaceXAI Grok 4.5 launchOfficial
- 09xAI Grok 4.5 documentationOfficial
- 10Artificial Analysis model indexIndependent
Quick answers
AI model comparison FAQ.
Question 01
Which AI model is best overall in July 2026?
GPT-5.6 is the best all-around family in this comparison because Sol, Terra, and Luna create a practical quality-to-cost routing ladder. Claude Fable 5 is the strongest escalation choice for the hardest reasoning tasks.
Question 02
Which AI model is cheapest for API use?
Muse Spark 1.1 has the lowest output price in this group at $4.25 per million tokens. GPT-5.6 Luna has the lowest uncached input price at $1 per million tokens. Real cost also depends on reasoning tokens, retries, caching, tools, and agent fan-out.
Question 03
Which AI model is best for coding agents?
Grok 4.5 is the strongest coding-agent value option, while GPT-5.6 Sol is the premium all-around coding and design choice. Terra is a sensible default route for professional development work.
Question 04
Are GPT-5.6, Fable 5, Muse Spark 1.1, or Grok 4.5 open source?
No. All of the models compared on this page are proprietary services and none offers an open-weight local deployment path.
Work with Matt
Need help choosing the right AI model stack?
Book a strategy hour with Matt to map the models, tools, costs, and routing approach that fit your business or workflow. You will leave with a practical next move, not another benchmark spreadsheet.