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

Claude Fable 5 vs ERNIE 5.1

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 / Baidu
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 ERNIE 5.1 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 ERNIE 5.1 if you…

  • Optimized for Chinese
  • Search augmentation
  • Baidu integration
  • Mature enterprise services
  • Best for: Chinese, Search-augmented, Enterprise services
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
ERNIE 5.1
Baidu · #17 overall
Overall66
Coding62
Multimodal74

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 5ERNIE 5.1Verdict
VendorAnthropic (US)Baidu (CN)Different vendors
Released2026.062026.05Claude Fable 5 is newer
Overall (rank)95 · #166 · #17Claude Fable 5 +29
Coding99 · #162 · #18Claude Fable 5 +37
Multimodal97 · #174 · #16Claude Fable 5 +23
Context window1M128KClaude Fable 5 larger
Max output128K32KERNIE 5.1 longer
Effective-context9882Claude Fable 5 more reliable
Input $/1M$10$1.1ERNIE 5.1 cheaper
Output $/1M$50$3.3ERNIE 5.1 cheaper
Cache discount90% offnoneClaude Fable 5 deeper
Speed~30 tok/s~45 tok/sERNIE 5.1 faster
TTFT1.2s0.7sERNIE 5.1 snappier
Function calling9278Claude Fable 5 ahead
Refusal rate~8%~12%Claude Fable 5 less restrictive
English9865Claude Fable 5
Chinese8292ERNIE 5.1
Modalitiestext, imagetext, imageSame
Open weightsNoNoBoth closed
Fine-tuningNoYes
Free tierNo free tier; $5 credit to startERNIE Bot free; quota on the Qianfan platform
SOC2 / no-trainyes / yesno / yes
Private deploymentNoYesERNIE 5.1

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 29 points (95 vs 66). That is a meaningful, not marginal, edge on hard, multi-step reasoning, while ERNIE 5.1 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 62. On multi-file edits, SWE-style tickets and long-horizon agent loops Claude Fable 5 needs fewer correction turns; ERNIE 5.1 is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Claude Fable 5 leads multimodal 97 vs 74. Neither emits native video, so the comparison is about parsing images and documents, not generation.

Speed & latency

ERNIE 5.1 is faster in interactive use: ~45 tok/s with 0.7s TTFT versus ~30 tok/s with 1.2s TTFT (about 1.5× 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 128K for ERNIE 5.1. Effective-context scores point the same way as window size — Claude Fable 5 is ahead on usable recall (98 vs 82), so prefer it for long-document work where details cannot be missed.

Price & total cost

ERNIE 5.1 is the cheaper API at $1.1/$3.3 versus Claude Fable 5 at $10/$50 per 1M input/output tokens — list input is about 9.1× lower. Cache discounts (Claude Fable 5 90%) shift the effective bill, worked out below.

Chinese vs English

English: Claude Fable 5 98 vs ERNIE 5.1 65. Chinese: 82 vs 92. For Chinese-language production, ERNIE 5.1 is the stronger pick. Note that non-Chinese models generally require overseas network access for their APIs.

Tool use & ecosystem

Function-calling score: Claude Fable 5 92 vs ERNIE 5.1 78, so Claude Fable 5 has the edge on structured tool use. Fine-tuning is available from ERNIE 5.1. 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 5ERNIE 5.1Gap
List priceno cache applied$2,500100M in × $10  +  30M out × $50$209100M in × $1.1  +  30M out × $3.311.96×gap
With caching90% of inputs cache-hit$1,69090M cached in × $1  +  10M in × $10  +  30M out × $50$209no published cache discount8.09×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 62).
IF you serve real-time users and latency is a product KPI  →  choose ERNIE 5.1 (~45 tok/s, 0.7s TTFT).
IF you are cost-driven at scale on routine, high-volume workloads  →  choose ERNIE 5.1 ($$1.1/$$3.3 per 1M in/out).
IF long-document recall has to be near-perfect  →  choose Claude Fable 5 (effective context 98 vs 82).
07

Frequently asked questions

Is Claude Fable 5 worth the higher price over ERNIE 5.1?
At list the input rate is 9.1x 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 ERNIE 5.1 is the economical pick.
Which is better for agentic coding?
Claude Fable 5 is decisively stronger for coding (99 vs 62 on the aggregate). The gap shows on SWE-style multi-file tasks and long agent loops that need fewer correction turns; ERNIE 5.1 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 ERNIE 5.1 about $209/month after cache discounts ($2,500 and $209 at list).
Does the bigger context window actually matter?
Nominal windows are Claude Fable 5 (1M) and ERNIE 5.1 (128K), but usable recall follows the effective-context score (98 vs 82). Prefer the higher effective-context model for long-document work where nothing can be missed.
How do they differ for Chinese-language and data-residency use?
ERNIE 5.1 is the Chinese model (Chinese score 92, domestic cloud, possible private deployment) while Claude Fable 5 is the global model (Chinese 82, overseas API). Pick by language quality, access path and where data must reside.
Which one supports fine-tuning?
ERNIE 5.1 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.