MModelspectraIndependent AI Model Intelligence
Head-to-head · Updated 2026-09-08
Model Comparison · Head to Head

Claude Fable 5 vs Gemini 3.1 Pro

Claude Fable 5 wins on Overall, Coding, Multimodal. Every numeric field is compared below, with a worked monthly-cost example and a pick rule for each use case.

VendorAnthropic / Google
Data fields15+ dimensions
Updated2026-09-08
Read~9 min
01

Verdict at a glance

Bottom line: Choose Claude Fable 5 when coding depth, long-context reliability, lower refusal matter most; choose Gemini 3.1 Pro when lower cost, lower latency, fine-tuning/ecosystem is the priority.

Choose Claude Fable 5 if you…

  • Strongest all-round reasoning
  • Reliable long-context recall
  • Top-tier coding
  • Best for: Deep reasoning, Long documents, Coding

Choose Gemini 3.1 Pro if you…

  • Native audio and video
  • Strong scientific computing
  • Largest 2M context
  • Search integration
  • Best for: Multimodal, Scientific reasoning, Audio & video
02

Head-to-head aggregate scores

Scores are 0–100, aggregated from public benchmark information and independently weighted across three leaderboards. Rank is out of 22 tracked models.

Claude Fable 5 Higher overall
Anthropic · #1 overall
Overall95
Coding99
Multimodal97
VS
Gemini 3.1 Pro
Google · #3 overall
Overall83
Coding74
Multimodal92

Aggregated from public sources and independently weighted; methodology on the Terms page. Scores within 3 points are treated as statistically tied.

03

Specs & pricing — every field side by side

List API prices in USD per 1M tokens. The highlighted cell is the stronger value/capability on that row.

DimensionClaude Fable 5Gemini 3.1 ProVerdict
VendorAnthropic (US)Google (US)Different vendors
Released2026.062026.05Claude Fable 5 is newer
Overall (rank)95 · #183 · #3Claude Fable 5 +12
Coding99 · #174 · #9Claude Fable 5 +25
Multimodal97 · #192 · #2Claude Fable 5 +5
Context window1M2MGemini 3.1 Pro larger
Max output128K128KTie
Effective-context9892Claude Fable 5 more reliable
Input $/1M$10$2Gemini 3.1 Pro cheaper
Output $/1M$50$12Gemini 3.1 Pro cheaper
Cache discount90% offnoneClaude Fable 5 deeper
Speed~30 tok/s~60 tok/sGemini 3.1 Pro faster
TTFT1.2s0.7sGemini 3.1 Pro snappier
Function calling9278Claude Fable 5 ahead
Refusal rate~8%~12%Claude Fable 5 less restrictive
English9890Claude Fable 5
Chinese8275Claude Fable 5
Modalitiestext, imagetext, image, audio, videodifferent coverage
Open weightsNoNoBoth closed
Fine-tuningNoYes
Free tierNo free tier; $5 credit to startGemini App free with limited quota; API free tier available
SOC2 / no-trainyes / yesyes / yes
Private deploymentNoNoNeither

Fields drawn from vendor public documentation and the Modelspectra 22-model dataset; speed varies with network, concurrency and prompt length. Verify current pricing before purchase.

04

Dimension-by-dimension analysis

Reasoning & overall intelligence

Claude Fable 5 leads the overall aggregate by 12 points (95 vs 83). That is a meaningful, not marginal, edge on hard, multi-step reasoning, while Gemini 3.1 Pro remains a strong generalist that is not out of its depth on routine work.

Agentic coding

This is a decisive gap: Claude Fable 5 scores 99 against 74. On multi-file edits, SWE-style tickets and long-horizon agent loops Claude Fable 5 needs fewer correction turns; Gemini 3.1 Pro is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Claude Fable 5 leads multimodal 97 vs 92. A concrete modality difference: Gemini 3.1 Pro additionally handles audio, video.

Speed & latency

Gemini 3.1 Pro is faster in interactive use: ~60 tok/s with 0.7s TTFT versus ~30 tok/s with 1.2s TTFT (about 2.0× the throughput). For conversational UIs where perceived responsiveness drives retention, that edge is a real product factor even when raw reasoning is lower.

Context: window vs usable recall

Nominal windows are 1M for Claude Fable 5 and 2M for Gemini 3.1 Pro. Crucially, the larger nominal window does not win on usable recall: Gemini 3.1 Pro advertises 2M but Claude Fable 5 scores higher on effective-context (98 vs 92), i.e. it actually retains more of what it was given.

Price & total cost

Gemini 3.1 Pro is the cheaper API at $2/$12 versus Claude Fable 5 at $10/$50 per 1M input/output tokens — list input is about 5.0× lower. Cache discounts (Claude Fable 5 90%) shift the effective bill, worked out below.

Chinese vs English

English: Claude Fable 5 98 vs Gemini 3.1 Pro 90. Chinese: 82 vs 75. Both are US-based models; for Chinese-first workloads also compare domestic models on the leaderboard.

Tool use & ecosystem

Function-calling score: Claude Fable 5 92 vs Gemini 3.1 Pro 78, so Claude Fable 5 has the edge on structured tool use. Fine-tuning is available from Gemini 3.1 Pro. Factor in existing SDK/plugin familiarity — switching cost often outweighs a few-point tool-use gap.

05

Cost worked example — same workload, real token math

Assume a production workload of 100M input + 30M output tokens per month, with 90% of input tokens served from cache. Figures use public list prices.

Scenario · per monthClaude Fable 5Gemini 3.1 ProGap
List priceno cache applied$2,500100M in × $10  +  30M out × $50$560100M in × $2  +  30M out × $124.46×gap
With caching90% of inputs cache-hit$1,69090M cached in × $1  +  10M in × $10  +  30M out × $50$560no published cache discount3.02×gap

Illustrative model; your input/output mix and cache-hit ratio change the result. Prices are list rates before any enterprise agreement.

06

Decision tree

IF the workload is agentic or multi-file coding and a wrong first pass is expensive  →  choose Claude Fable 5 (coding 99 vs 74).
IF you serve real-time users and latency is a product KPI  →  choose Gemini 3.1 Pro (~60 tok/s, 0.7s TTFT).
IF you are cost-driven at scale on routine, high-volume workloads  →  choose Gemini 3.1 Pro ($$2/$$12 per 1M in/out).
IF long-document recall has to be near-perfect  →  choose Claude Fable 5 (effective context 98 vs 92).
07

Frequently asked questions

Is Claude Fable 5 worth the higher price over Gemini 3.1 Pro?
At list the input rate is 5.0x higher, but cache discounts and output pricing narrow the effective gap. Pay the premium when Claude Fable 5's stronger dimensions protect revenue; for routine volume Gemini 3.1 Pro is the economical pick.
Which is better for agentic coding?
Claude Fable 5 is decisively stronger for coding (99 vs 74 on the aggregate). The gap shows on SWE-style multi-file tasks and long agent loops that need fewer correction turns; Gemini 3.1 Pro is fine for routine scripts.
How do costs compare at 100M tokens/month with caching?
At 100M input + 30M output with 90% of inputs cache-hit, Claude Fable 5 is about $1,690/month and Gemini 3.1 Pro about $560/month after cache discounts ($2,500 and $560 at list).
Does the bigger context window actually matter?
Nominal windows are Claude Fable 5 (1M) and Gemini 3.1 Pro (2M), but usable recall follows the effective-context score (98 vs 92). Prefer the higher effective-context model for long-document work where nothing can be missed.
Which one supports fine-tuning?
Gemini 3.1 Pro supports fine-tuning; Claude Fable 5 does not at this tier. If you plan to adapt the model to a narrow domain, that is a concrete differentiator.
Which handles multimodal inputs better?
Multimodal scores are 97 (Claude Fable 5) vs 92 (Gemini 3.1 Pro), with modality coverage text/image versus text/image/audio/video. Match the model to the input types your product actually receives.