Skip to main content
Back to Blog

Gemini 3.5 Flash hits 199 tok/s, GPT-5.4 offers half the price of GPT-5.5

Speed frontier shifts as Gemini 3.5 Flash leads throughput at 199 tok/s while GPT-5.4 undercuts GPT-5.5 on price-to-quality ratio.

FindLLMJuly 6, 2026
speedthroughputgeminigpt-5-4price

What changed this week

Gemini 3.5 Flash (Google) now tops the throughput chart at 199 tok/s with a quality index of 50.2 at $3.38/M tokens. That's 2.5x the inference speed of Claude Sonnet 5 (Anthropic) at 78 tok/s, for 3.2 fewer quality points and 15% lower price. For batch pipelines where wall-clock time dominates, the trade is clear.

GPT-5.4 (OpenAI) is the quiet value play this week. It delivers quality 51.4 at $5.63/M and 153 tok/s. Compared to GPT-5.5 at $11.25/M, quality 54.8, and 87 tok/s, GPT-5.4 costs half as much, runs 1.76x faster, and gives up 3.4 quality points. If your pipeline tolerates a 51-quality baseline — and most retrieval-augmented generation does — GPT-5.4 is the stronger economic choice.

The throughput frontier

ModelQualityPrice/1MSpeed
Gemini 3.5 Flash50.2$3.38199 tok/s
GLM 5.251.1$1.05177 tok/s
GPT-5.451.4$5.63153 tok/s
Claude Sonnet 553.4$4.0078 tok/s

Speed comparison

GLM 5.2 (Z AI) remains the open-source standout: quality 51.1 at $1.05/M and 177 tok/s. It beats Gemini 3.5 Flash on both quality and price while trailing by 22 tok/s. For teams that need self-hosting or want to avoid vendor lock-in, GLM 5.2 is the model to benchmark against.

Where the frontier models still win

Claude Sonnet 5 at quality 53.4 and $4/M is the cheapest model above the 53-quality line. Nothing in the speed tier matches it on raw quality. If your workload is quality-bound — agentic reasoning, complex code generation, multi-step planning — the 78 tok/s inference latency is the price you pay.

Claude Fable 5 at quality 59.9 and $20/M sits in a different category entirely. It's 9.7 quality points above Gemini 3.5 Flash at 5.9x the cost. Only relevant when output correctness justifies the spend.

Practical read

For throughput-bound batch jobs: Gemini 3.5 Flash or GLM 5.2. For quality-sensitive work under $6/M: Claude Sonnet 5 or GPT-5.4. The gap between the speed tier (50–51 quality) and the quality tier (53–54) is narrow enough that workload characteristics, not benchmark scores, should drive the decision.

Price comparison

What to watch

  • Whether GPT-5.4's $5.63 price holds or OpenAI repositions it against GLM 5.2's $1.05.
  • If Gemini 3.5 Flash gets a quality bump — at 199 tok/s, even 2 extra points would reshape the mid-tier.
  • MiniMax M3 at $0.52/M and 104 tok/s — cheapest in the table, but quality 44.4 limits it to low-stakes classification and extraction.

Use the LLM Selector to match these trade-offs to your specific workload, or Explore the full leaderboard.

Stay in the loop

Weekly LLM analysis delivered to your inbox. No spam.