Hyperscaler cost ↓ Lower is better Source: InferenceX & SemiAnalysis Market July 2026 AI Cloud TCO Model
| Model · Scenario | B200 · Reference | MI355X | B300 | GB200 NVL72 | GB300 NVL72 |
|---|---|---|---|---|---|
DeepSeek V4 Pro 1.6T8K/1K | vLLM · FP4 | $0.35517% more expensive than B200 SGLang · FP4 | $0.24519% cheaper than B200 SGLang · FP4 | $0.51469% more expensive than B200 Dynamo vLLM · FP4 | $0.21330% cheaper than B200 Dynamo SGLang · FP4 · STP |
DeepSeek V4 Pro 1.6TLong Context Multi-Turn Realistic Agentic Scenario (AgentX) | vLLM · FP4 | $0.256407% more expensive than B200 MoRI SGLang · FP4 | $0.03433% cheaper than B200 vLLM · FP4 | — no data for this scenario | $0.01178% cheaper than B200 Dynamo vLLM · FP4 |
Kimi K3 2.8TLong Context Multi-Turn Realistic Agentic Scenario (AgentX) | Dynamo vLLM · FP4 · STP | — no data for this scenario | $0.15489% cheaper than B200 vLLM · FP4 | $0.49763% cheaper than B200 Dynamo vLLM · FP4 | — no data for this scenario |
MiniMax M3 428B8K/1K | vLLM · FP8 | $0.11369% more expensive than B200 vLLM · FP4 | $0.05616% cheaper than B200 vLLM · FP4 | $0.10862% more expensive than B200 Dynamo vLLM · FP8 · STP | $0.11065% more expensive than B200 Dynamo vLLM · FP8 · STP |
MiniMax M3 428BLong Context Multi-Turn Realistic Agentic Scenario (AgentX) | — no exact @50 result | — no data for this scenario | $0.012No B200 baseline to compare against vLLM · FP4 | — no data for this scenario | — no data for this scenario |
GLM5.2Long Context Multi-Turn Realistic Agentic Scenario (AgentX) | — no exact @50 result | — no data for this scenario | — no exact @50 result | — no data for this scenario | — no data for this scenario |
Qwen3.5 397B8K/1K | SGLang · FP4 | $0.06767% more expensive than B200 SGLang · FP4 | $0.040About the same cost as B200 SGLang · FP4 | $0.142251% more expensive than B200 Dynamo SGLang · FP8 · STP | $0.133230% more expensive than B200 Dynamo SGLang · FP8 · STP |
Qwen3.5 397BLong Context Multi-Turn Realistic Agentic Scenario (AgentX) | — no exact @50 result | — no data for this scenario | $0.006No B200 baseline to compare against SGLang · FP4 | — no data for this scenario | $0.007No B200 baseline to compare against Dynamo SGLang · FP4 |
DeepSeek R1 0528 671BMaintenance8K/1K | SGLang · FP4 | $0.259149% more expensive than B200 SGLang · FP8 | $0.353239% more expensive than B200 SGLang · FP8 | $0.19284% more expensive than B200 Dynamo SGLang · FP8 · STP | $0.263152% more expensive than B200 Dynamo SGLang · FP8 · STP |
Kimi K2.5/2.6/2.7-Code 1TDeprecated8K/1K | Dynamo vLLM · FP4 · STP | $0.1476% more expensive than B200 vLLM · FP4 · STP | $0.17929% more expensive than B200 vLLM · FP4 · STP | $0.11219% cheaper than B200 Dynamo vLLM · FP4 · STP | $0.11518% cheaper than B200 Dynamo vLLM · FP4 · STP |
GLM5/5.1 744BDeprecated8K/1K | SGLang · FP4 | $0.431150% more expensive than B200 SGLang · FP8 | $0.21022% more expensive than B200 SGLang · FP4 | $0.33393% more expensive than B200 Dynamo SGLang · FP4 · STP | $0.433152% more expensive than B200 Dynamo SGLang · FP4 · STP |
gpt-oss 120BDeprecated8K/1K | vLLM · FP4 · STP | $0.011About the same cost as B200 vLLM · FP4 · STP | — no data for this scenario | — no data for this scenario | — no data for this scenario |
MiniMax M2.5/2.7 230BDeprecated8K/1K | vLLM · FP4 · STP | $0.05431% more expensive than B200 vLLM · FP4 · STP | $0.05124% more expensive than B200 vLLM · FP4 · STP | $0.041About the same cost as B200 Dynamo vLLM · FP4 · STP | $0.04713% more expensive than B200 Dynamo vLLM · FP4 · STP |
Llama 3.3 70B InstructDeprecated8K/1K | vLLM · FP4 · STP | $0.14585% more expensive than B200 vLLM · FP4 · STP | — no data for this scenario | — no data for this scenario | — no data for this scenario |
8K/1K
Long Context Multi-Turn Realistic Agentic Scenario (AgentX)
Long Context Multi-Turn Realistic Agentic Scenario (AgentX)
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Long Context Multi-Turn Realistic Agentic Scenario (AgentX)
Long Context Multi-Turn Realistic Agentic Scenario (AgentX)
8K/1K
Long Context Multi-Turn Realistic Agentic Scenario (AgentX)
8K/1K
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— = no result. ∞ = B200 baseline unavailable.
If a chip does not have FP4 spec decoding available, the next best available configuration is used.
