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

Gemini 3.8 Flash vs ERNIE 5.1

Gemini 3.8 Flash 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.

VendorGoogle / Baidu
Data fields15+ dimensions
Updated2026-09-08
Read~9 min
01

Verdict at a glance

Bottom line: Choose Gemini 3.8 Flash when coding depth, long-context reliability, lower refusal matter most; choose ERNIE 5.1 when its stronger dimensions is the priority.

Choose Gemini 3.8 Flash if you…

  • Best-coding Flash yet
  • Native text/image/audio/video
  • Very fast and low-priced
  • Stronger agentic reasoning
  • Best for: Fast tasks, Multimodal, 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 26 tracked models.

Gemini 3.8 Flash Higher overall
Google · #12 overall
Overall73
Coding73
Multimodal88
VS
ERNIE 5.1
Baidu · #20 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.

DimensionGemini 3.8 FlashERNIE 5.1Verdict
VendorGoogle (US)Baidu (CN)Different vendors
Released2026.092026.05Gemini 3.8 Flash is newer
Overall (rank)73 · #1266 · #20Gemini 3.8 Flash +7
Coding73 · #1362 · #22Gemini 3.8 Flash +11
Multimodal88 · #974 · #20Gemini 3.8 Flash +14
Context window1M128KGemini 3.8 Flash larger
Max output64K32KGemini 3.8 Flash longer
Effective-context9082Gemini 3.8 Flash more reliable
Input $/1M$0.75$1.1Gemini 3.8 Flash cheaper
Output $/1M$3.75$3.3ERNIE 5.1 cheaper
Cache discountnonenoneTie
Speed~85 tok/s~45 tok/sGemini 3.8 Flash faster
TTFT0.3s0.7sGemini 3.8 Flash snappier
Function calling7878Tie
Refusal rate~10%~12%Gemini 3.8 Flash less restrictive
English8865Gemini 3.8 Flash
Chinese7492ERNIE 5.1
Modalitiestext, image, audio, videotext, imagedifferent coverage
Open weightsNoNoBoth closed
Fine-tuningYesYes
Free tierGemini App free; API free tier; intro price through Dec 31, 2026ERNIE 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 26-model dataset; speed varies with network, concurrency and prompt length. Verify current pricing before purchase.

04

Dimension-by-dimension analysis

Reasoning & overall intelligence

Gemini 3.8 Flash leads the overall aggregate by 7 points (73 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 clear gap: Gemini 3.8 Flash scores 73 against 62. On multi-file edits, SWE-style tickets and long-horizon agent loops Gemini 3.8 Flash needs fewer correction turns; ERNIE 5.1 is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Gemini 3.8 Flash leads multimodal 88 vs 74. A concrete modality difference: Gemini 3.8 Flash additionally handles audio, video.

Speed & latency

Gemini 3.8 Flash is faster in interactive use: ~85 tok/s with 0.3s TTFT versus ~45 tok/s with 0.7s TTFT (about 1.9× 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 Gemini 3.8 Flash and 128K for ERNIE 5.1. Effective-context scores point the same way as window size — Gemini 3.8 Flash is ahead on usable recall (90 vs 82), so prefer it for long-document work where details cannot be missed.

Price & total cost

Gemini 3.8 Flash is the cheaper API at $0.75/$3.75 versus ERNIE 5.1 at $1.1/$3.3 per 1M input/output tokens — list input is about 1.5× lower.

Chinese vs English

English: Gemini 3.8 Flash 88 vs ERNIE 5.1 65. Chinese: 74 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: Gemini 3.8 Flash 78 vs ERNIE 5.1 78, so Gemini 3.8 Flash has the edge on structured tool use. Fine-tuning is available from Gemini 3.8 Flash and 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 monthGemini 3.8 FlashERNIE 5.1Gap
List priceno cache applied$188100M in × $0.75  +  30M out × $3.75$209100M in × $1.1  +  30M out × $3.31.11×gap
With caching90% of inputs cache-hit$188no published cache discount$209no published cache discount1.11×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 Gemini 3.8 Flash (coding 73 vs 62).
IF you serve real-time users and latency is a product KPI  →  choose Gemini 3.8 Flash (~85 tok/s, 0.3s TTFT).
IF you are cost-driven at scale on routine, high-volume workloads  →  choose Gemini 3.8 Flash ($$0.75/$$3.75 per 1M in/out).
IF long-document recall has to be near-perfect  →  choose Gemini 3.8 Flash (effective context 90 vs 82).
07

Frequently asked questions

How do costs compare at 100M tokens/month with caching?
At 100M input + 30M output with 90% of inputs cache-hit, Gemini 3.8 Flash is about $188/month and ERNIE 5.1 about $209/month after cache discounts ($188 and $209 at list).
Does the bigger context window actually matter?
Nominal windows are Gemini 3.8 Flash (1M) and ERNIE 5.1 (128K), but usable recall follows the effective-context score (90 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 Gemini 3.8 Flash is the global model (Chinese 74, overseas API). Pick by language quality, access path and where data must reside.
Which handles multimodal inputs better?
Multimodal scores are 88 (Gemini 3.8 Flash) vs 74 (ERNIE 5.1), with modality coverage text/image/audio/video versus text/image. Match the model to the input types your product actually receives.
What is the single-line recommendation?
Choose Gemini 3.8 Flash for Fast tasks, Multimodal; choose ERNIE 5.1 for Chinese, Search-augmented.
How quickly do these rankings change?
Modelspectra refreshes the aggregate as new public benchmarks and prices appear. Treat scores within 3 points as a tie and re-check before a committed purchase.