Part of Best LLM for AI Agents

Best LLM for Tool & Function Calling

Claude Fable 5.1 is the provisional first pick for Tool & Function Calling as of October 20, 2026, while independent task measurements are still limited.[1][2][3][4][5] It ranks #1 of 48 on LMArena Agent's tool-hallucination signal (score 0.7), where a higher score means fewer fabricated tool calls. GPT-6 Astra scores within two points, so read the top two as close rather than as a measured gap. GPT-6 Astra is the next-ranked alternative. Ranks #2 of 48 on LMArena's agentic arena (score 15.1) and steerability (score 15.5), tied for #1 on tool-hallucination signal (score 0.7).

About this recommendation

Updated
Evidence through
Sources
17
Revision
v111

Decision audit

Why this result

Inspect the inputs and the computed order behind the recommendation.

Models screened

24

live candidates

Evaluation feeds

7

task-weighted

Winner coverage

46%

intended feed weight

Largest provider share

3 of 8

Anthropic

Provisional source breadth. 5 citation families and 0 practitioner families provide attributed capability reports; 0 cautionary threads retained. The largest citation family contributes 79%.

Anthropic: Claude Fable 5.1 leads the measured task comparison with limited independent task measurements. Community volume, release age and usage popularity add no ranking points. The leading scores are close under this policy.

Real-world track record is still developing. The recommendation can lead on independent measurements while practitioner reports accumulate.

Sources evaluated

These are the weights used in scoring. Missing measurements are omitted from each model’s average. A feed with no result for any model released in the last 60 days is stale and does not score until it catches up.

winner: Claude Fable 5.1
Evaluation feedWeightWinner resultField measured
Berkeley Function Callingstale
0%
no current result0/24
tau2-benchstale
0%
no current result0/24
LMArena Agent Tool HallucinationObserved 2026-10-19 · evaluation date not supplied · max effort
36%
#124/24
LMArena AgentObserved 2026-10-19 · evaluation date not supplied · max effort
27%
#324/24
LMArena Agent SteerabilityObserved 2026-10-19 · evaluation date not supplied · max effort
18%
#324/24
LMArena SearchObserved 2026-10-13 · evaluation date not supplied · claude-fable-5.1-high
18%
#24/24
Structured-output evaldisabled; last successful check unknownunavailable
0%
feed unavailable0/24

Provider concentration

Each exact model is scored separately; provider identity is not a ranking input.

Anthropic38%
  • Anthropic3 models
  • Meta2 models
  • OpenAI2 models
  • Google1 model

Decision table

Every published model is shown in computed order. Practitioner sources are distinct community threads, not the citations repeated in the prose below.

  1. Anthropic · coverage 46% · provisional evidence

    #1 LMArena Agent Tool Hallucination · #2 LMArena Search

  2. OpenAI · coverage 46% · close score · provisional evidence

    #1 LMArena Agent Tool Hallucination · #2 LMArena Agent

  3. Anthropic · coverage 46% · close score · provisional evidence

    #1 LMArena Agent · #1 LMArena Agent Steerability

  4. OpenAI · coverage 46% · provisional evidence

    #1 LMArena Agent Tool Hallucination · #4 LMArena Agent

  5. Google · coverage 38% · provisional evidence

    #3 LMArena Agent Steerability · #6 LMArena Agent

  6. Anthropic · coverage 38% · provisional evidence

    #5 LMArena Agent · #7 LMArena Agent Steerability

  7. Meta · coverage 38% · provisional evidence

    #10 LMArena Agent Tool Hallucination · #15 LMArena Agent

  8. Meta · coverage 38% · provisional evidence

    #12 LMArena Agent · #17 LMArena Agent Steerability

Task score averages the available, task-weighted measurements. Benchmark positions compare models matched to our catalog. Models measured by at least two independent evaluator families are considered first. Missing tests, practitioner report counts, popularity and release age add no points. Coverage describes evidence breadth, not a probability of correctness. Scores within two points are shown as close under this policy; this is not a statistical confidence interval. When the leading scores are that close, the model measured by more evaluator families ranks first.

  1. 01

    Claude Fable 5.1Anthropic · $10 in / $50 out per M tokens · 1M context

    Claude Fable 5.1 ranks #1 of 48 on LMArena Agent's tool-hallucination signal (score 0.7), where a higher score means fewer fabricated tool calls.

    Best when: Its strongest result for this task is on LMArena Agent tool hallucination, which measures calling only tools that exist, with real arguments.
    Source 1
    “Within the 48 catalog models matched to this evaluation: Ranks #1 of 48 on LMArena Agent's tool-hallucination signal (score 0.7), where a higher score means fewer fabricated tool calls.”
    LMArena Agent tool hallucinationOpen original ↗

    No practitioner reports are linked yet, so no cautions are listed. Absence of reports is not evidence of reliability.

  2. 02

    GPT-6 AstraOpenAI · $10 in / $50 out per M tokens · 1.1M context

    Ranks #2 of 48 on LMArena's agentic arena (score 15.1) and steerability (score 15.5), tied for #1 on tool-hallucination signal (score 0.7).

    Best when: Use for low-hallucination tool calling where fabricated calls must be minimized, as it ties for the best tool-hallucination signal score (0.7) in the evaluation.
    Source 4
    “Within the 48 catalog models matched to this evaluation: Ranks #1 of 48 on LMArena Agent's tool-hallucination signal (score 0.7), where a higher score means fewer fabricated tool calls.”
    LMArena Agent tool hallucinationOpen original ↗

    More tips

    • Deploy when mid-task direction following is critical, ranking #2 on steerability (score 15.5) among 48 models.
      Source 3
      “Within the 48 catalog models matched to this evaluation: Ranks #2 of 48 on LMArena Agent's steerability signal (score 15.5), measuring how well the agent follows direction given mid-task.”
      LMArena Agent steerabilityOpen original ↗

    Watch out for

    • Expect sensitivity to AGENTS.md instructions and skills, with tendencies toward detailed formatting, more clarifying questions, and over-testing small changes.
      Source 6
      “Context GPT-6 Astra is available, but its token usage currently makes it unsuitable as the default day-to-day model. Use it selectively as a high-capability workflow and prompt auditor. Official guidance notes that Astra is more sensitive to instructions in AGENTS.md and skills, may ask more clarifying questions, tends toward detailed formatting, and can over-test small changes. These behaviors overlap with prior dotfiles friction around unnecessary STOPs, repeated confirmations, verbose w…”
      jjshen-elandOpen original ↗
  3. 03

    Claude Opus 5.5Anthropic · $4 in / $20 out per M tokens · 1M context

    Ranks #1 of 48 on LMArena's agentic arena (score 20.4) for tool-use and multi-step task performance, and #1 on steerability (score 17.3).

    Best when: Use for complex multi-step agent workflows requiring mid-task direction changes, as it leads all models in steerability (score 17.3) and agentic arena performance (score 20.4).
    Source 7
    “Within the 48 catalog models matched to this evaluation: Ranks #1 of 48 on LMArena Agent's steerability signal (score 17.3), measuring how well the agent follows direction given mid-task.”
    LMArena Agent steerabilityOpen original ↗
    Source 8
    “Within the 48 catalog models matched to this evaluation: Ranks #1 of 48 on LMArena's agentic arena (score 20.4), measuring tool-use and multi-step task performance from human preference.”
    LMArena agentic arenaOpen original ↗

    More tips

    • Deploy for subagent-heavy applications like document processing pipelines, demonstrated in building a complete 387-label map translation app with subagents in one afternoon.
      Source 9
      “How a map on a café wall turned into an app that reads, maps and translates all 387 labels of an 1819 French map of the Bosphorus, built with Claude Opus 5.5 subagents in an afternoon. I wrote up where this came from and how I built it: https: cahidarda.com articles bosphore-1819”
  4. 04

    GPT-6.1 SolOpenAI · $2 in / $10 out per M tokens · 1.1M context

    GPT-6.1 Sol ranks #1 of 48 on LMArena Agent's tool-hallucination signal (score 0.7), where a higher score means fewer fabricated tool calls.

    Best when: Its strongest result for this task is on LMArena Agent tool hallucination, which measures calling only tools that exist, with real arguments.
    Source 10
    “Within the 48 catalog models matched to this evaluation: Ranks #1 of 48 on LMArena Agent's tool-hallucination signal (score 0.7), where a higher score means fewer fabricated tool calls.”
    LMArena Agent tool hallucinationOpen original ↗
  5. 05

    Gemini 4 ArgonGoogle · $2 in / $10 out per M tokens · 1.0M context

    Ranks #6 of 48 on LMArena's agentic arena (score 12.1) and #3 on steerability (score 14.8).

    Best when: Use when mid-task direction following is prioritized, as it ranks #3 on steerability (score 14.8).
    Source 11
    “Within the 48 catalog models matched to this evaluation: Ranks #3 of 48 on LMArena Agent's steerability signal (score 14.8), measuring how well the agent follows direction given mid-task.”
    LMArena Agent steerabilityOpen original ↗

    Watch out for

    • Expect frequent fabricated tool calls, ranking #30 of 48 on tool-hallucination signal (score 0.1).
      Source 12
      “Within the 48 catalog models matched to this evaluation: Ranks #30 of 48 on LMArena Agent's tool-hallucination signal (score 0.1), where a higher score means fewer fabricated tool calls.”
      LMArena Agent tool hallucinationOpen original ↗
  6. 06

    Claude Sonnet 5.5Anthropic · $2 in / $10 out per M tokens · 1M context

    Claude Sonnet 5.5 ranks #5 of 48 on LMArena's agentic arena (score 12.8), measuring tool-use and multi-step task performance from human preference.

    Best when: Its strongest result for this task is on LMArena Agent, which measures tool calling and multi-step control across a long task.
    Source 13
    “Within the 48 catalog models matched to this evaluation: Ranks #5 of 48 on LMArena's agentic arena (score 12.8), measuring tool-use and multi-step task performance from human preference.”
    LMArena agentic arenaOpen original ↗
  7. 07

    Muse Spark 1.3Meta · $1.25 in / $4.25 out per M tokens · 1.0M context

    Muse Spark 1.3 ranks #10 of 48 on LMArena Agent's tool-hallucination signal (score 0.6), where a higher score means fewer fabricated tool calls.

    Best when: Its strongest result for this task is on LMArena Agent tool hallucination, which measures calling only tools that exist, with real arguments.
    Source 14
    “Within the 48 catalog models matched to this evaluation: Ranks #10 of 48 on LMArena Agent's tool-hallucination signal (score 0.6), where a higher score means fewer fabricated tool calls.”
    LMArena Agent tool hallucinationOpen original ↗

    No practitioner reports are linked yet, so no cautions are listed. Absence of reports is not evidence of reliability.

  8. 08

    Muse WonderMeta · $4 in / $20 out per M tokens · 1.0M context

    Ranks #12 of 48 on LMArena's agentic arena (score 3.8) but shows poor tool-hallucination performance (#28 of 48, score 0.2) and steerability (#17 of 48, score 4.8), with limited available evidence.

    Best when: Its strongest result for this task is on LMArena Agent, which measures tool calling and multi-step control across a long task.
    Source 15
    “Within the 48 catalog models matched to this evaluation: Ranks #12 of 48 on LMArena's agentic arena (score 3.8), measuring tool-use and multi-step task performance from human preference.”
    LMArena agentic arenaOpen original ↗

    Watch out for

    • Expect higher rates of fabricated tool calls, ranking #28 of 48 on tool-hallucination signal (score 0.2).
      Source 16
      “Within the 48 catalog models matched to this evaluation: Ranks #28 of 48 on LMArena Agent's tool-hallucination signal (score 0.2), where a higher score means fewer fabricated tool calls.”
      LMArena Agent tool hallucinationOpen original ↗
    • Watch for limited mid-task direction following, ranking #17 of 48 on steerability (score 4.8).
      Source 17
      “Within the 48 catalog models matched to this evaluation: Ranks #17 of 48 on LMArena Agent's steerability signal (score 4.8), measuring how well the agent follows direction given mid-task.”
      LMArena Agent steerabilityOpen original ↗

Frequently asked

What is the best model for Tool & Function Calling?
Claude Fable 5.1 ranks first as of October 20, 2026. Claude Fable 5.1 ranks #1 of 48 on LMArena Agent's tool-hallucination signal (score 0.7), where a higher score means fewer fabricated tool calls.[1]
What is the best alternative to Claude Fable 5.1?
GPT-6 Astra ranks second. Ranks #2 of 48 on LMArena's agentic arena (score 15.1) and steerability (score 15.5), tied for #1 on tool-hallucination signal (score 0.7).[2][3][4][5]

Sources

  1. 1

    “Within the 48 catalog models matched to this evaluation: Ranks #1 of 48 on LMArena Agent's tool-hallucination signal (score 0.7), where a higher score means fewer fabricated tool calls.”

    LMArena Agent tool hallucination · Benchmark · Oct 19, 2026
  2. 2

    “Within the 48 catalog models matched to this evaluation: Ranks #2 of 48 on LMArena's agentic arena (score 15.1), measuring tool-use and multi-step task performance from human preference.”

    LMArena agentic arena · Benchmark · Oct 19, 2026
  3. 3

    “Within the 48 catalog models matched to this evaluation: Ranks #2 of 48 on LMArena Agent's steerability signal (score 15.5), measuring how well the agent follows direction given mid-task.”

    LMArena Agent steerability · Benchmark · Oct 19, 2026
  4. 4

    “Within the 48 catalog models matched to this evaluation: Ranks #1 of 48 on LMArena Agent's tool-hallucination signal (score 0.7), where a higher score means fewer fabricated tool calls.”

    LMArena Agent tool hallucination · Benchmark · Oct 19, 2026
  5. 5

    “Summary Two distinct tool-calling failures were found using the NEAR AI provider from OpenCode (which uses the OpenAI-compatible /v1/chat/completions endpoint). 1. openai/gpt-6-astra — function tools rejected on /v1/chat/completions OpenAI rejects function tools for this model on /v1/chat/completions; tools only work on /v1/responses. OpenCode's openai-compatible provider uses /v1/chat/completions, so agentic runs error out. Not fixable from OpenCode config. Update to:…”

    think-in-universe · GitHub · Sep 17, 2026
  6. 6

    “Context GPT-6 Astra is available, but its token usage currently makes it unsuitable as the default day-to-day model. Use it selectively as a high-capability workflow and prompt auditor. Official guidance notes that Astra is more sensitive to instructions in AGENTS.md and skills, may ask more clarifying questions, tends toward detailed formatting, and can over-test small changes. These behaviors overlap with prior dotfiles friction around unnecessary STOPs, repeated confirmations, verbose w…”

    jjshen-eland · GitHub · Sep 18, 2026
  7. 7

    “Within the 48 catalog models matched to this evaluation: Ranks #1 of 48 on LMArena Agent's steerability signal (score 17.3), measuring how well the agent follows direction given mid-task.”

    LMArena Agent steerability · Benchmark · Oct 19, 2026
  8. 8

    “Within the 48 catalog models matched to this evaluation: Ranks #1 of 48 on LMArena's agentic arena (score 20.4), measuring tool-use and multi-step task performance from human preference.”

    LMArena agentic arena · Benchmark · Oct 19, 2026
  9. 9

    “How a map on a café wall turned into an app that reads, maps and translates all 387 labels of an 1819 French map of the Bosphorus, built with Claude Opus 5.5 subagents in an afternoon. I wrote up where this came from and how I built it: https: cahidarda.com articles bosphore-1819”

    cahid_arda · Hacker News · Sep 24, 2026
  10. 10

    “Within the 48 catalog models matched to this evaluation: Ranks #1 of 48 on LMArena Agent's tool-hallucination signal (score 0.7), where a higher score means fewer fabricated tool calls.”

    LMArena Agent tool hallucination · Benchmark · Oct 19, 2026
  11. 11

    “Within the 48 catalog models matched to this evaluation: Ranks #3 of 48 on LMArena Agent's steerability signal (score 14.8), measuring how well the agent follows direction given mid-task.”

    LMArena Agent steerability · Benchmark · Oct 19, 2026
  12. 12

    “Within the 48 catalog models matched to this evaluation: Ranks #30 of 48 on LMArena Agent's tool-hallucination signal (score 0.1), where a higher score means fewer fabricated tool calls.”

    LMArena Agent tool hallucination · Benchmark · Oct 19, 2026
  13. 13

    “Within the 48 catalog models matched to this evaluation: Ranks #5 of 48 on LMArena's agentic arena (score 12.8), measuring tool-use and multi-step task performance from human preference.”

    LMArena agentic arena · Benchmark · Oct 19, 2026
  14. 14

    “Within the 48 catalog models matched to this evaluation: Ranks #10 of 48 on LMArena Agent's tool-hallucination signal (score 0.6), where a higher score means fewer fabricated tool calls.”

    LMArena Agent tool hallucination · Benchmark · Oct 19, 2026
  15. 15

    “Within the 48 catalog models matched to this evaluation: Ranks #12 of 48 on LMArena's agentic arena (score 3.8), measuring tool-use and multi-step task performance from human preference.”

    LMArena agentic arena · Benchmark · Oct 19, 2026
  16. 16

    “Within the 48 catalog models matched to this evaluation: Ranks #28 of 48 on LMArena Agent's tool-hallucination signal (score 0.2), where a higher score means fewer fabricated tool calls.”

    LMArena Agent tool hallucination · Benchmark · Oct 19, 2026
  17. 17

    “Within the 48 catalog models matched to this evaluation: Ranks #17 of 48 on LMArena Agent's steerability signal (score 4.8), measuring how well the agent follows direction given mid-task.”

    LMArena Agent steerability · Benchmark · Oct 19, 2026

Rankings synthesized from community evidence and open benchmarks. See methodology. Not driven by vendor marketing.