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Gemini 4 Carbon vs Claude Fable 5.2: Price, Benchmarks, and Our Coding Test

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Fable 5.2 scores slightly higher, Gemini 4 Carbon costs a quarter as much per token this month. We ran both on one coding task: both passed, Carbon was cheaper at both settings and slower at medium.

Google made Gemini 4 Carbon generally available on November 10, 2026, one day after Anthropic released Claude Fable 5.2. They are the strongest models from each lab, and they are priced far apart. This month Carbon costs a quarter of Fable 5.2 per token, and from December 1 it costs half.


Which should you use?

  • You want answers fast. Use Fable 5.2 at medium. In our test it finished in 4.2 minutes, against 12.7 for Carbon at medium.
  • You run long agent jobs and watch the bill. Try Carbon at high. In our test it cost $1.29 per task this month against $7.70 for Fable 5.2 at high.
  • You need the highest score you can buy. Use Fable 5.2 at high or above. It has two effort levels above high, and at max it scores 65 on Artificial Analysis, five points above Carbon’s best.
  • Your work is tax, legal research, or finance. Carbon ranks first on several of those Vals benchmarks, where Fable 5.2 ranks lower. Test on your own documents.

Both labs point to another model for everyday work. Anthropic recommends starting with Opus 5.5, at half Fable 5.2’s token price, and Google recommends Gemini 4 Argon, at the same token price as Carbon.

What we measured

We ran one coding task through Atomic Agent, our open-source agent, on OpenRouter. The provider was pinned to Anthropic for Fable 5.2 and to Google AI Studio for Carbon. The task is a warehouse stock library of about 1,400 lines with 13 planted bugs and one missing feature. The agent has to read a spec, fix the bugs, build the feature, and get the tests passing. We then score the result against 59 hidden tests the agent never sees.

Each setting ran three times on the same build of the agent, which is included in the 0.7.0 release. Carbon costs are at the November price.

Model and settingHidden testsTimeStepsCost
Carbon, medium (API default)59/59, 3 runs12.7 min56$0.95
Carbon, high59/59, 3 runs20.4 min59$1.29
Fable 5.2, medium59/59, 3 runs4.2 min6$1.87
Fable 5.2, high (API default)59/59, 3 runs26.6 min19$7.70

The Carbon high cost is the average of two runs. The longest run recorded only 23 of its 69 steps, so we left its cost out, and the true average is probably higher.

If the token mix stays the same, Carbon’s December price makes these about $1.90 at medium and about $2.60 at high.

What the numbers show:

  • At medium, Fable 5.2 was three times as fast. It cost about twice as much this month, and about the same from December.
  • At high, Carbon cost far less. Fable 5.2 at high cost about six times as much this month and about three times as much from December. Carbon at high also finished sooner on average in our runs.
  • The two models work very differently. Carbon took 56 steps at medium and Fable 5.2 took 6. Fable 5.2 thinks longer per step and spends more per step, while Carbon takes many short ones. Most of Carbon’s input came from the cache.
  • The API defaults point in opposite directions. Fable 5.2 defaults to high, its most expensive setting in our test. Carbon defaults to medium, its cheapest.

Limits of this test. It is one task, three runs per setting, and every setting scored 59 out of 59, so this test says nothing about which model is smarter. It shows what each setting spent to reach the same result. Runs varied: Carbon at high took between 14.6 and 29.6 minutes. The Fable runs were on November 9 and the Carbon runs on November 10, and some runs on both days went in parallel, so treat time comparisons as rough. We did not test Fable 5.2 at xhigh or max, or Carbon at low.

Pricing

Per 1M tokensCarbon until Nov 30Carbon from Dec 1Fable 5.2
Input$2$4$8
Output, including thinking$10$20$40
Cache read$0.10$0.20$0.20
Cache writenot chargednot charged$10 for 5 min, $16 for 1 hour
Batch input / output$1 / $5$2 / $10$4 / $20
Faster or priority tier$3.60 / $18$7.20 / $36$16 / $80

Prices from Google and Anthropic. The last row compares different products: Anthropic’s fast mode raises output speed by up to 2.5 times, and Google’s pricing page does not describe what its Priority tier changes.

Carbon’s caching is automatic, with no separate charge to write to the cache and no explicit cache control. Anthropic lets you choose what to cache and charges for writes. Carbon has no free tier on the API.

The December change matters most for planning. At the same token count, Carbon goes from 25% to 50% of Fable 5.2’s price. A budget you build in November on Carbon’s current price will be half of what you pay in December.

Independent results

Artificial Analysis prices Carbon at the December rate. These are its figures as listed on November 10:

Model and settingIndexCost per taskTime per task
Fable 5.2, max65$26.5444.4 min
Fable 5.2, xhigh62$14.8326.1 min
Fable 5.2, high62$9.0817.5 min
Carbon, high60$7.7625.6 min
Carbon, medium58$6.5923.6 min
Fable 5.2, medium56$3.808.1 min
Carbon, low54$7.1922.5 min
Fable 5.2, low54$3.106.5 min

At high, Carbon scores two points less than Fable 5.2 and costs 15% less, or about 57% less at the November price by our arithmetic. At medium, Carbon scores two points more and costs 73% more at the December price. Fable 5.2 at medium and low finished in about a third of Carbon’s time on this index.

At the December price the two sources roughly agree that Fable 5.2 at medium is not the more expensive one: on the index it costs 42% less than Carbon at medium, and in our task they were about even, $1.87 against about $1.90. Only at the November price was Carbon cheaper in our task.

Vals AI tested both at high effort:

BenchmarkCarbonFable 5.2
Vals Index70.45% (3rd)71.31% (1st)
Vibe Code Bench v1.189.06% (9th)93.77% (1st)
Terminal-Bench 4.063.13% (5th)65.15% (1st)
Finance Agent v2.167.16% (7th)69.47% (1st)
Vals Legal Index75.93% (3rd)69.17% (20th)
Tax Agent Bench51.78% (1st)32.09% (27th)
Cost per test$10.51$17.94

Vals figures as of November 9, at the $4 and $20 price for Carbon. Vals first published Carbon on October 28.

The pattern is clear. Fable 5.2 leads on coding and agent benchmarks. Carbon leads on legal and tax work by wide margins and costs 41% less per test. The overall index is close to a tie, with both scores inside about one point of margin.

Benchmarks from the labs

The two labs publish different benchmark sets. On these three rows both labs report the same score for Opus 5.5, and Anthropic’s own table shows the same Carbon scores as Google’s:

BenchmarkCarbonFable 5.2Opus 5.5
FrontierSWE 261.2%69.9%62.3%
AutomationBench53.9%51.4%42.5%
OSWorld-2.181.5%89.3%87.2%

Carbon figures from Google’s model evaluation, Fable 5.2 figures from Anthropic’s announcement. Google took FrontierSWE 2 from Proximal and AutomationBench from Zapier. Both labs report OSWorld-2.1 on the offline subset with partial scoring, and Google’s Carbon score is the best of three runs.

Fable 5.2 leads on software engineering and computer use. Carbon leads on business workflow automation, and Google claims first place there at less than half the cost per task of the next best external model.

Effort and thinking levels

CarbonFable 5.2
Levelslow, medium, highlow, medium, high, xhigh, max
API defaultmediumhigh
Default in the labs’ own appsnot statedmedium in Claude apps and Claude Code
Can thinking be turned offno off setting offeredno

This is the part most likely to surprise you. If your agent or code sends no effort value, Carbon runs at medium and Fable 5.2 runs at high. In our test that meant $0.95 for Carbon and $7.70 for Fable 5.2 on the same task, an eightfold gap, against about twofold when both run at medium. Set the level yourself on both.

On Carbon the levels change the bill much less than on Fable 5.2. On Artificial Analysis, Carbon at high costs 18% more than at medium, while Fable 5.2 at high costs 2.4 times as much as at medium.

Limits and other differences

CarbonFable 5.2
Context window1M tokens1M tokens
Output per request65,536 by default, more with background requestsup to 128,000
Knowledge cutoffMarch 2026June 2026
Sampling settingstemperature, top_p, top_k ignoredtemperature, top_p, top_k must be omitted

Both models can take several minutes on hard prompts. Google recommends a client timeout of at least 15 to 20 minutes for Carbon.

Both labs restrict high-risk security work. Fable 5.2 blocks it and returns a refusal, with an optional fallback to an older Claude model. Google offers fuller cybersecurity features only to verified defenders in its Fairwind Program. Fable 5.2 also requires 30-day data retention.

On consumer plans, Carbon is in the Gemini app, AI Mode, and Antigravity for Google AI Ultra subscribers. Fable 5.2 is included in Max and Ultra plans and premium Team seats, while Pro and standard Team seats had it only for a launch week ending November 16 and otherwise pay through usage credits. Details are in our Fable 5.2 review.

How to try both

To repeat our test on your own work, download Atomic Agent for Mac, Windows or Linux, or install the terminal version.

Terminal window
curl -fsSL https://atomicagent.io/install | sh
atomic-agent

On Windows, run irm https://atomicagent.io/install.ps1 | iex in PowerShell. The source is on GitHub.

Connect OpenRouter with your own key and choose google/gemini-4-carbon or anthropic/claude-fable-5.2 from the live model list; see our OpenRouter guide. To set the effort level, add one line to your openrouter entry under llm.providers in ~/.atomic-agent/config.json:

"extraBody": { "reasoning": { "effort": "medium" } }

The setting applies to every model on that entry. Without it, each model runs at its own default, so you would compare Carbon at medium with Fable 5.2 at high. More in our models guide.

For each model on its own, see our Gemini 4 Carbon review and our Fable 5.2 review. Fable 5.2 against Opus 5.5 is in our earlier test. If you are comparing agents rather than models, see our list of open-source Claude Code alternatives.

The takeaway

Fable 5.2 is slightly stronger on the independent indexes and clearly stronger on coding benchmarks. Carbon is close, leads on legal and tax work, and costs much less per token. In our test both solved the task completely. Fable 5.2 at medium was the fastest setting, and Carbon at high was far cheaper than Fable 5.2 at high.

Set effort yourself: with each model on its API default our task cost eight times as much on Fable 5.2, against about twice as much when both ran at medium. If you are deciding this month, remember that Carbon’s price doubles on December 1, and plan your budget on the December price.

FAQ

Gemini 4 Carbon vs Claude Fable 5.2 at a glance.

  • Is Gemini 4 Carbon better than Claude Fable 5.2?

    Not on the independent indexes. Fable 5.2 scores 62 on the Artificial Analysis Intelligence Index at high effort against 60 for Carbon at high, and 65 at max, a level Carbon does not have. On the Vals Index, Fable 5.2 has 71.31% and Carbon 70.45%. Carbon leads in some fields, such as tax and legal research on Vals. In our coding test both models passed all 59 hidden tests.

  • Which is cheaper, Gemini 4 Carbon or Claude Fable 5.2?

    Carbon, per token. Until November 30, 2026 Carbon costs $2 and $10 per million input and output tokens, a quarter of Fable 5.2's $8 and $40. From December 1 Carbon costs $4 and $20, half of Fable. Per task it depends on the effort level: in our test Carbon at medium cost $0.95 against $1.87 for Fable 5.2 at medium, and Carbon at high cost $1.29 against $7.70.

  • Which is faster?

    Fable 5.2 at medium. In our test it finished in 4.2 minutes against 12.7 minutes for Carbon at medium. At high the order flipped in our runs, 20.4 minutes for Carbon against 26.6 for Fable 5.2, but on Artificial Analysis Fable 5.2 at high is faster, 17.5 minutes per task against 25.6.

  • What are the default effort settings?

    On the API, Fable 5.2 defaults to high and Carbon defaults to medium. Fable 5.2 has five effort levels, from low to max. Carbon has three thinking levels: low, medium, and high. If your code sends no effort value, you get a different setting on each model.

  • Which should I use for coding agents?

    If speed matters, Fable 5.2 at medium: in our test it finished three times as fast as Carbon at medium. If cost matters on long runs, Carbon at high cost a fraction of Fable 5.2 at high in our test. For the hardest work, Fable 5.2 has higher effort levels and higher index scores. Test both on your own tasks before you commit.

  • What are the model IDs and context windows?

    Fable 5.2 is claude-fable-5-2 on the Claude API and anthropic/claude-fable-5.2 on OpenRouter. Carbon is gemini-4-carbon on the Gemini API and google/gemini-4-carbon on OpenRouter. Both have a 1 million token context window. Fable 5.2 returns up to 128,000 output tokens. Carbon stops at 65,536 per request by default and can go further with background requests.


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Written by
Nadya Dudka Product, Atomic Agent
Andrew Dyuzhov SEO and growth

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